Alteryx Updates & Release Notes

Enterprise AI has an accuracy problem, and it isn’t the models.

Ask a good LLM to calculate net revenue retention and you’ll get a fast, fluent, confident answer. Ask again next quarter and you may get a different one, because the model is deriving the logic from scratch every time. Your analytics team settled that definition years ago, wrote it into a workflow, and had it reviewed. The model has never seen it.

That gap, between what a model can infer on its own and what your business has already agreed on, is where most enterprise AI pilots stall.

The latest AI capabilities in Alteryx One are built to solve this challenge. The theme of our 2026 Summer Release is AI with ROI, focused on three areas where Alteryx improves the economics of AI.

Answers are more trustworthy. Every response traces back to the same governed workflows your teams already maintain, keeping answers consistent across users and AI tools. NextWave recently demonstrated a 100% accuracy rate using Alteryx in a complex reconciliation process, catching all 11 breaks, compared to a general-purpose LLM that caught 9 but missed 2 completely.

Token spend goes down. Complex analytics run inside Alteryx instead of being re-derived by a model on every question. The result is predictable, governed compute in place of token spend that scales unpredictably. In the same reconciliation use case, NextWave reduced LLM token consumption by 20x using Alteryx to execute the established logic rather than asking the model to reason through the entire process each time.

Outcomes come faster. Agents reuse workflows your team has already built rather than rediscovering business logic from zero. Using Alteryx One, Big Query, and Gemini, Papa Johns reduced franchise billing and reconciliation processes from 300+ hours to 2 hours.

The governed foundation, now on every AI surface

We describe that foundation as VURA: visible, understandable, repeatable, and auditable. An answer should show its inputs, explain its steps, produce the same result twice, and leave a trail someone can review.

This release extends VURA to the AI surfaces your business already uses. Ask a question in Claude, ChatGPT, or Alteryx One, and it resolves against the same approved logic your analytics team maintains.

New ways to put trusted logic to work

The capabilities in this release extend the same governed foundation across a natural progression: ask a question, create a reusable workflow, turn that logic into an agent, and make it available wherever your teams work.

Ask Alteryx:

Ask a business question in plain language, inside Alteryx One. Ask Alteryx delivers a trusted answer when one already exists, and builds a new, reusable workflow when it doesn’t. Users can inspect, edit, and verify every output, or summarize the workflow, so a quick answer today becomes a governed asset tomorrow.

Agent Studio:

Turn any approved dataset into a conversational agent in a few clicks, with no rebuilding of the underlying logic. Finance, operations, and other teams get an agent they can simply ask. Analytics teams keep full control of the data and logic behind every response. Agent Studio is a built-in Alteryx One capability with no additional token costs each time an agent runs. Building and using Alteryx Agents in Agent Studio is in public preview.

Alteryx MCP Server and Skills:

Connect Alteryx to whatever AI platform you already work in. Your agent interacts with Alteryx the way a person would: finding the right data, building a multi-step workflow, and turning it into something governed and repeatable. Alteryx Skills teaches AI coding tools like Codex, Copilot, Claude Code, Gemini CLI, and others, to build Alteryx workflows using the same patterns Ask Alteryx uses.

Alteryx Insights for OpenAI:

Available now through the ChatGPT Plugin Directory, this feature brings analyst-approved data, calculations, and workflows into ChatGPT. A business user can investigate a revenue variance or resolve a reconciliation question without opening Alteryx or holding a seat. Support for Claude, Gemini, Slack, and Microsoft Teams is on the way.

Why not just point the model at my data warehouse?

Fair question, and you should — for retrieval. Databricks and Snowflake now do real analytics too, not just storage.

What they’re not built for is letting the people who hold the business rules encode them directly. An FP&A analyst knows that revenue excludes intercompany transfers, EMEA follows a different fiscal calendar, and three SKUs were reclassified in March.

With Alteryx, the analyst can translate that knowledge into reusable logic without relying on someone else to interpret it. In Databricks or Snowflake, the same rule usually means a ticket to a data engineering team who has to translate it into code first.

Alteryx sits between the agent and logic. The model keeps doing what it’s good at — understanding the question and handling the conversation. The calculation runs against business rules a human already approved.

Your AI tools like Claude, ChatGPT, Gemini, and Copilot also become more useful when the answers they surface are grounded in logic your business owns. Your existing stack stays in place and gains a trusted business logic layer.

Putting AI to work with confidence

The next phase of enterprise AI will be defined by more than model capability. It will be defined by how well organizations connect those models to the context, logic, and accountability that make their businesses run.

That is what the Alteryx 2026 Summer Release delivers, with a governed foundation that reaches from the analyst’s workflow to the business user’s conversation and into enterprise agentic systems. AI that can show its work, repeat it reliably, and deliver value at scale. AI with ROI.

I encourage you to explore how the new capabilities deliver value to business and IT teams here and dive into details in the release notes. To support and accelerate our users’ journey into agentic analytics, Alteryx is also offering a new customer learning path for current users.

Enterprises have spent the last two years pouring budget into copilots, agents, and generative tools. But the harder problem was never the model. It was the data feeding it, and whether anyone could explain where an answer came from once it landed on someone’s desk.

Snowflake customers are asking that question constantly right now, which is why we’re glad to share that Alteryx One is available on Snowflake Marketplace as a Connected App. Now Snowflake customers can leverage the Alteryx One Platform to access, analyze, and curate AI-ready data, all within their Snowflake environment.

What’s included

The listing includes the full Alteryx One platform, not a single feature carved out for Marketplace. Everything below runs against the same governed Snowflake data, so there’s no separate copy to maintain and no separate conversation with IT about whether it’s safe.

Analysts who don’t want to wait on a data engineering queue to access Snowflake get Alteryx Designer, the drag-and-drop tool for blending, cleaning, and analyzing data without code. Intelligence Suite extends that same approach into machine learning, computer vision, and text mining, so advanced analytics doesn’t sit behind a data science team’s backlog.

For teams working with Snowflake data specifically, Alteryx Live Query is a browser-based experience built for querying that data in place. Workspace Execution goes a step further and lets anyone building in Designer Desktop run the workflow in the cloud, without a local machine standing between the work and the result.

There’s also a set of capabilities built specifically for AI work:

• Auto Insights: Uses machine learning to surface visualizations automatically.
• Ask Alteryx: A generative assistant built into the platform for natural language interaction.
• AI Tools: Brings large language models directly into Alteryx workflows.
• Agent Studio: Enables teams to build AI agents grounded in governed, Alteryx-managed data rather than starting from nothing.

Additionally, Alteryx MCP Agents can integrate with Cortex CoWork, providing governed data, insights, and workflows to help build truly valuable agentic AI applications.

Customers with a Snowflake Capacity commitment may also be able to apply eligible spend toward Alteryx One through Snowflake Marketplace, depending on region and eligibility. Check with your account team for specifics.

Why this matters in the age of AI

Every enterprise buying AI tooling right now is asking some version of the same question: Can I trust what this produces? Alteryx was working on this problem before “agentic AI” became a category, which is why Alteryx built VURA—Visible, Understandable, Repeatable and Auditable—as the foundation for what trustworthy AI actually requires.

• Visible: An AI system shouldn’t be a black box. A user should be able to say where an answer came from and how it was derived. With Alteryx sitting between Snowflake data and the people or agents using it, that visibility is part of the workflow rather than something added afterward.
• Understandable: The logic behind an output has to make sense to the business user relying on it, not just the engineer who wrote it. Alteryx’s visual workflow model exists so that logic isn’t buried in a prompt or a script only one person can read.
• Repeatable: The same data and the same logic should produce the same answer every time, for every user. That consistency needs to live somewhere documented rather than in one analyst’s head.
• Auditable: When a number looks wrong, someone needs to trace who owns the workflow, what data and logic produced it, and where a person made a judgment call along the way. Without that trail, “the AI said so” isn’t an answer a business can stand behind.

Snowflake gives enterprises a governed perimeter for their data and AI workloads. Alteryx gives them a governed logic layer for what happens inside that perimeter, controlled by the business teams that own the outcomes and verifiable by the IT teams that own the risk. Listing Alteryx as a Connected App means customers no longer have to stitch that pairing together themselves.

It’s also what positions Alteryx well as customers adopt Snowflake Cortex, including Snowflake CoCo and Snowflake CoWork. Those agents are only as reliable as the logic and context they draw on, and Alteryx workflows are already built to be that foundation: human-verified, versioned and auditable from the day they’re built.

Customers don’t have to stand up a separate trust framework every time a new Cortex capability ships. They also don’t have to rebuild that framework every time the business changes or absorb a new round of change management with each rollout. Alteryx workflow outputs can power Cortex directly, so CoCo and CoWork reason over logic the business has already verified instead of logic it has to take on faith.

Built for how Snowflake customers already work

Alteryx One meets customers where their data already lives, and for a growing number of them, that’s Snowflake. Live Query lets analysts work with Snowflake data in place instead of extracting or replicating it just to get value from it. Workspace Execution extends that same idea to compute, letting workflows built in Designer Desktop run in the cloud without local machines or added infrastructure.

Take a finance or FP&A team trying to close the books faster or model a forecast against live Snowflake data. The old path usually ran through a request to data engineering, an extract, a wait and a spreadsheet that was already stale by the time it arrived.

With Alteryx One connected directly to Snowflake, that same analyst works in Live Query against governed data in place and hands off something the rest of the team can rerun the same way next quarter—with no shadow copy sitting in a downloads folder and no scramble to explain where a number came from when someone asks.

Alteryx has closed that gap for finance, operations and other business teams for years by giving nonengineers a way to reach governed data directly instead of routing every question through a technical team that’s already stretched thin. The Marketplace listing doesn’t change that. It just shortens the distance between deciding to try Alteryx and actually using it.

A few common questions

Does this replace how customers already connect Alteryx to Snowflake?

No. Existing Snowflake connections, In-Database processing and Snowpark integrations keep working as they do today. The Marketplace listing is a new way to discover and provision Alteryx One, not a replacement for anything customers have already built.

Does data leave Snowflake to use Alteryx One?

The Connected App model exists specifically so it doesn’t have to. Alteryx One’s logic runs against data inside the customer’s Snowflake account rather than requiring a full extract, and Live Query was built for working with that data in place.

Is this for IT or for business users?

Both. Business teams get a no-code way to work directly with governed data, and IT gets a single auditable layer between that data and the people using it, along with a procurement path that runs through infrastructure they already trust.

What if we’re already an Alteryx customer?

This listing is mainly a new front door for Snowflake customers evaluating Alteryx for the first time or existing customers looking to consolidate spend through a Snowflake Capacity commitment.

Getting started

Snowflake customers can find the Alteryx One listing on Snowflake Marketplace today.

Every analytics journey starts with a question: Where should I begin? Which tool should I use? How do I prepare this data? How do I turn an idea into a workflow?

Ask Alteryx is now available in Alteryx One to help answer those questions faster.

Ask Alteryx is an AI-powered analytics assistant that lets users ask questions in natural language and get guidance inside the Alteryx experience. Whether you are new to Alteryx or looking for a faster way to navigate common analytics tasks, Ask Alteryx helps you learn platform capabilities, understand workflows and datasets, find recommended next steps, and get started building.

A Faster Way to Get Started in Alteryx One

In Alteryx One, Ask Alteryx helps users explore the platform and move from question to action. You can ask about workflows, datasets, reports, plans, data preparation, and more.

For example, you can ask:

“How do I prepare data for analysis?”

“How do I connect to a dataset?”

“What tools remove duplicate rows?”

“How do I schedule a workflow?”

“How do I share assets with other users?”

Instead of searching across docs or guessing where to go next, users can ask Ask Alteryx directly from the Alteryx One home page and review a generated response.

From Answers to Action

Ask Alteryx does more than respond with information. It can also suggest actions based on what you are trying to do.

Depending on your question, Ask Alteryx may recommend next steps like connecting to data, exploring datasets, learning more about a feature, opening related documentation, or launching Designer to begin building a workflow.

That makes Ask Alteryx especially useful for teams that want to reduce friction across the analytics process. New users can build confidence faster, experienced users can find the right path more quickly, and organizations can help more people get value from Alteryx One.

Built for Analytics Workflows

Ask Alteryx is designed around the work users are already doing in Alteryx. In Alteryx One, it can help you understand platform capabilities and common analytics tasks. In Designer, Ask Alteryx can also help users build workflows, understand tools, troubleshoot issues, and even add preconfigured tools to the canvas.

Together, these experiences make Ask Alteryx a helpful assistant across the analytics lifecycle, from learning what is possible to taking the next step in a workflow.

Start Asking

Ask Alteryx is available from the Alteryx One home page in the browser and app.

Try asking a question the next time you are getting started with a dataset, exploring a workflow, or figuring out which step to take next. And as always, review AI-generated responses before using them in production workflows or business processes.

Get a free trial to try Ask Alteryx for yourself. If you want help getting set up or learning more, check out the Alteryx Knowledge Base.

Agents built on your logic

For AI to actually deliver in an organization, it needs three things: it needs to be trusted, it needs to understand how your business works, and business teams need to be able to update the logic without submitting IT tickets. Most AI deployments struggle with at least two of these.

Alteryx workflows are the missing piece. The business logic, the validated datasets, the defined transformations — already built and maintained by the people closest to the business. Agent Studio and MCP Server take that logic and make it the foundation for AI that your organization can rely on.

Agent Studio lets you package your trusted datasets and workflows into conversational experiences others can query directly — grounded in your numbers, your definitions, your logic. Because Agent Studio creates and manages the MCP endpoints, your workflows become the interface through which AI interacts with your business. Your expertise scales without turning into more work for you.

The Alteryx One MCP Server extends this in three directions.

Ask Anywhere. Your governed workflows power answers in whatever tools questions are actually being asked — Claude, ChatGPT, Gemini, and more. When someone queries an AI assistant, the answer comes from your Alteryx-governed logic, not a guess. Your numbers stay consistent, wherever the conversation happens.

Build Anywhere. Start in Claude, Gemini, or ChatGPT — describe a business problem you want to solve — and Alteryx MCP skills can help you understand your data, identify what workflows you need to tackle it, and then build those workflows in Alteryx without ever leaving the chat interface. It turns the AI tools your colleagues already use into a full workflow automation designer.

Power enterprise agentic systems. As organizations build more complex AI-driven processes, Alteryx can serve as the trusted data and logic layer those systems depend on. Imagine a compliance reporting agent that draws on data from multiple departments. With MCP Server, that logic lives in Alteryx — where it’s Visible, Understandable, Repeatable, and Auditable — and agents can pull that trusted data and execute that logic in real time. AI that the business can stand behind.

We’re just getting started with MCP Server. Expect new skills to arrive frequently.

One platform that just works

The rest of the release is about a platform that feels unified, capable, and reliable — one that extends what you’ve already invested in and makes every part of your workflow faster.

Your new home for everything in Alteryx

The Alteryx One app is your new integrated home for the full Alteryx platform. From a single interface, you can work on Designer Desktop workflows, run Live Query analysis, access Orchestrator Plans, build Reports and Apps — all without switching context or losing momentum. For analysts who’ve spent years toggling between tools and environments just to get work done, this is a meaningful change.

Ask Alteryx is now in Alteryx One

Ask Alteryx is expanding beyond the workflow canvas into the Alteryx One app itself — and with it comes a meaningful expansion of what it can do.

Previously focused on accelerating individual workflow steps, Ask Alteryx can now help you think through entire business process automation scenarios. Describe a business problem. Ask Alteryx will help you map out the solution, decide what you need to build, and then build it with you.

It feels less like AI doing the work for you, and more like having exactly the right thinking partner at exactly the right moment.

GenAI Tools: trusted LLMs in your workflows

Alongside Ask Alteryx, GenAI Tools bring trusted access to large language models directly into your workflows — for tasks like extracting data from unstructured documents and emails, generating text, or searching the web. A key update in this release: GenAI Tools workflows now run on Alteryx Server, making them available for scheduled production execution. Build the workflow in Designer, deploy it to Server, and let it run.

Build on your desktop, run in the cloud

With Workspace Execution, workflows you build in Designer Desktop run in Alteryx’s resilient cloud environment — no local machine required. Schedule jobs, monitor execution, and scale centrally through Alteryx One. Your work reaches further, with less operational risk.

Data you can trust, at the scale you need

As analytics and AI scale, knowing what data you can trust — and how it should be used — becomes critical.

Governed analytics for teams

Alteryx One workspaces give teams the foundation they need to avoid the “wild west” of siloed analytics: workflow versioning, collaborative folders, shared connections, and cloud-based access, all in one place. These aren’t just convenience features — they’re the governance layer that lets teams move fast without losing control.

Data Labels bring governance signals directly into the everyday experience: certified datasets and workflows are clearly marked, and sensitivity and compliance requirements are visible at a glance. Instead of relying on tribal knowledge or manual validation, trust is made explicit — so you can move faster with confidence.

Real-time insights, no data movement

Alteryx One is expanding Live Query — which already supports Databricks and Snowflake — with Live Query for BigQuery, now generally available. Whether your data lives in BigQuery, Databricks, Snowflake, or somewhere else entirely, you can analyze it directly in place. No migration. No replication costs. No consolidating everything into a single vendor’s ecosystem before you can get to work.

Live Query for BigQuery also unlocks BigQuery’s native AI capabilities within your Alteryx workflows. That means large-scale processing of unstructured data without writing code — automatically extracting text, sentiment, or classifications from 100,000 customer support calls, directly in BigQuery, within an Alteryx workflow. Zero data movement. Zero code.

The bigger unlock is access. Enterprise data lakes hold enormous amounts of information that analysts have historically had to sample, move, or approximate just to work with. Alteryx meets your data where it already lives — so analysts can make a bigger impact, on more of the business’s data, at a fraction of the cost of moving it first.

These updates reflect what we care about at the product level: a platform that extends the value of the work you’ve already done, removes friction at every layer, and makes you — the analyst — the hero of your organization’s AI story.

Explore the full Alteryx One release notes, try Ask Alteryx in your next workflow build, and sign up for the Agent Studio and MCP Server Previews. We look forward to hearing what you think!

The governance layer AI depends on

The conversation about AI transformation tends to focus on the people building with it. But the IT and admin teams responsible for making it work safely carry a different kind of weight: keeping execution environments governed, data access controlled, and whatever reaches production trustworthy.

The latest Alteryx One capabilities are built with that in mind. Two things stand out. First, Alteryx One is a natively multi-platform solution, built to work with the cloud data infrastructure your organization is already invested in — not alongside it. Second, new agentic capabilities give IT the infrastructure control they need while enabling business teams to own the business logic they understand, without creating an IT bottleneck every time something needs to change.

Here’s what’s new and why it matters for the teams responsible for keeping analytics and AI running at scale.

The governance layer AI depends on

For AI to be trusted in the business, it needs to meet a specific bar: the data it uses must reflect how your business actually works, the logic it runs must be understandable to the people who depend on it, the results must be auditable, and the whole thing must be repeatable. Most AI deployments today don’t come close. Agents query raw data directly — completely missing the vital business context that makes the data meaningful. Logic lives in prompts that no one can verify or update. There is no authoritative answer for why the AI said what it said, and no clear path for the business to correct it.

Alteryx changes this with a clear division of responsibility. IT manages the agentic infrastructure and data platform. Business teams — analysts, the finance team, the tax department — own and maintain the business logic in Alteryx, defined in terms they understand and updated without having to file IT tickets. When a state changes its filing rules, the tax team updates the Alteryx workflow directly. When market conditions shift, the finance team adjusts the logic themselves. The result is AI that is Visible, Understandable, Repeatable, and Auditable — governed by the people accountable for it, at the layer where it matters.

Agent Studio and MCP Server — both currently in Preview — these tools are designed to support this division of responsibility.

Agent Studio lets business teams teams create, configure, and manage governed Alteryx Agents in Alteryx One, using approved datasets and supported workflows as usable AI-accessible assets. As Agent Studio and Alteryx One MCP Server come together, Agent Studio is intended to become the primary interface for defining and managing which governed analytics assets are available to agents, while MCP provides controlled external access to those assets. This gives IT and admins clearer visibility into what has been enabled, who can use it, and where it can be accessed — without requiring IT to rewrite the business logic each time it changes.

MCP Server is where that governed logic meets real-world AI use. External AI tools — including Claude, ChatGPT, and Gemini — can use Alteryx One MCP Server to run approved Alteryx workflows and access governed datasets. The business context, the certified logic, the defined transformations remain anchored in Alteryx. MCP Server also creates a foundation for ‘Build Anywhere’ capability: analysts can start in an AI tool, use supported Alteryx MCP capabilities to scope out what workflows they need, and continue to build those workflows in Alteryx — while IT retains control of what is published and what is accessible. We are just getting started and will continue to expand supported MCP capabilities more frequently over time.

Built for the platforms you are already invested in

Alteryx One is designed to help analysts work with the cloud data platforms organizations already use to run their businesses. Live Query for Databricks and Snowflake already made it possible to analyze data directly in place, helping reduce unnecessary data movement, replication and pipeline complexity. Live Query for BigQuery, now generally available, brings that same native, governed, in-place capability to one of the most widely deployed enterprise data platforms, including access to BigQuery’s native AI tools for processing unstructured data at massive scale — automated extraction and classification across hundreds of thousands of records, without writing code and without moving anything.

For IT, this means Alteryx One sits comfortably alongside the data platforms you have already standardized on, works with the investments you have already made, and does not ask you to consolidate everything into a single vendor’s ecosystem before analysts can get to work. Whatever your data stack looks like, Alteryx meets it where it is.

The next generation of Alteryx connectors reinforces this. Google Drive and Microsoft SharePoint v3 are now generally available, built on a new architectural framework that delivers up to 80x faster processing for datasets over 1GB. More connectors are on the way. They are designed for a seamless experience across Alteryx One supporting interoperability across Designer Desktop and Cloud for supported connectors and configurations, simplified setup through Data Connection Manager with guided OAuth, and improved troubleshooting with more granular logging.

Enhancements to Data Connection Manager, coming soon, will provide a single centralized experience for managing credentials and data access at scale — standardizing connection details and reusing them across Server, Designer, and Workspace Execution, without recreating or manually maintaining them across systems.

One control plane, on your terms

Managing workflows across desktop, cloud, and on-premises environments simultaneously is one of the most persistent operational challenges we hear about from admins. With the latest Alteryx One capabilities, all workflows — wherever they execute — surface in a single, centralized control plane. View, automate, and manage everything in one place.

Workspace Execution allows analysts to build workflows in Designer Desktop and run them in a resilient cloud environment — the Alteryx Data Plane — without requiring local machines or additional servers. For IT, this can help reduce operational overhead, more resilient execution, and better visibility into analytics processes through the centralized Alteryx One dashboard. Organizations can choose between Alteryx-managed or private data storage options to meet their specific security requirements.

Server Execution, coming soon, brings your existing Alteryx Server workflows into the Alteryx One control plane — visible and manageable alongside cloud and desktop workflows in a single unified dashboard, while keeping execution and your data fully on-premises. There is no big bang migration. Workspace Execution and Server Execution are available simultaneously, so admins can make deliberate choices about what runs where and when — on their own timeline, aligned to their infrastructure and security requirements. The goal is maximum flexibility: Alteryx continues to fully support on-premises Server while the Alteryx Data Plane opens up additional options.

For teams running Alteryx Server on-premises, platform maintenance just got easier. The new Server Upgrade Wizard (coming soon) introduces automated validation before any upgrade, catching issues before they become outages. It provides a tailored roadmap for your specific environment, estimates the time and storage required, and gives you a clear path to resolution when issues are identified — so IT can upgrade with confidence, on their schedule, reducing the risk of surprises.

Governance features that keep teams aligned

Alteryx One workspaces give teams the governance foundation they need to avoid the ‘wild west’ of siloed analytics: workflow versioning, collaborative folders, shared connections, and cloud-based access, all managed centrally. Teams move faster, and IT maintains visibility into what is running, who owns it, and whether it has been approved for use.

Data Labels bring certification and compliance signals directly into the everyday experience. Certified datasets and workflows are clearly marked; sensitivity, compliance requirements, and AI usage guidelines are visible at a glance. Ownership and approved business use are defined in one place — making it easier to distinguish that what reaches analysts, and what reaches AI systems, is data you have vetted.

SDLC Packages and Promotion for Workflows, coming soon, will give admins tighter control over how analytics assets move into production. Clean, versioned packages. Built-in approval workflows, dependency validation, and testing checkpoints. Only trusted assets make it through — with less manual oversight and more visibility across environments.

Infrastructure IT can stand behind

The promise of AI-powered analytics is only as strong as the infrastructure beneath it. When AI operates without business context, when execution environments sit outside IT’s view, and when governance cannot keep pace with the pace of change — the result is business risk and eroded trust.

The latest Alteryx One capabilities give IT the control plane, the governance tools, and the agentic infrastructure to make trusted AI real. The business gets the AI it wants, built on logic it owns and IT can stand behind.

I encourage you to review the Alteryx One release notes and admin documentation to learn more.

In the race to adopt AI and advanced analytics, speed is often the primary metric. Business analysts are under pressure to deliver AI-powered insights, but as organizations move beyond pilots and into production, a new metric takes precedence: Trust.

AI only works when humans and agents can trust the data behind it. Successfully operationalizing AI depends on understanding where the data comes from, how it moves, and who is using it. That is why we are thrilled with the continued partnership between Alteryx and Collibra to strengthen enterprise governance and enable end-to-end visibility into your AI-powered workflows.

This integration is a win for our joint customers, bridging the gap between data preparation and enterprise governance.

From black box to glass box: The power of data lineage

As analytics initiatives scale, workflows can become increasingly complex. Visibility into the complex chain of transformations across the data ecosystem is crucial.

With the integration between the Alteryx One Platform and Collibra Data Lineage, users gain full traceability and visibility from data origin to outcome. This ensures that every report, dashboard and AI model is grounded in approved, auditable sources.

This level of transparency delivers four critical benefits:

• Strengthened compliance: Automatically map data flows to prove regulatory adherence
• Higher visibility: Track the usage of sensitive data to ensure it is handled correctly throughout the transformation process
• Increased reliability and trust: Create AI outputs that business users can confidently trust
• Improved data quality: Identify the usage of stale or unapproved data sets and redirect analysts to preferred data sources
• Reduced risk: Model downstream impacts of data transformations executed in Alteryx workflows or easily perform root cause analysis to track erroneous metrics to the source

Turning governance into a modernization accelerator

Data lineage is often viewed solely as a defensive safeguard, but this integration transforms it into strategic offense. By gaining visibility into how data is being used across Alteryx workflows, leaders can better understand team behaviors and data usage across their business so that they can ensure only trusted data sources are being used to feed their AI models and analytic workflows.

Additionally, this integration helps identify the most frequently accessed sources and surfaces previously hidden or duplicated work. This visibility empowers organizations to prioritize which data assets to consolidate, migrate or elevate into cloud data platforms — turning governance into an accelerator for data modernization as well as AI-powered analytics.

How does data lineage with Alteryx work?

Simply set up a connection from the Alteryx One admin portal to your external data catalog to enable dynamic runtime lineage. When a workflow executes in Server, Alteryx will automatically collect the relevant metadata, create OpenLineage events and share them with Collibra.

From there, users can simply log into their Collibra instance and search for Alteryx workflows for near real-time insight into how data is being used across your business. This integration supports both:

• Workflow-level lineage for visibility into what data input produces each data output
• Column-level lineage for visibility into the origin of each field or column

A partnership built for the AI era

We are excited to collaborate with the Collibra team to deliver complete data lineage and trusted governance for AI-powered analytics.

Chandra Papudesu, Vice President of Product Management, Data Lineage and Integrations at Collibra, noted “Our joint customers need visibility and transparency of their data that is powering AI and analytics. Through this partnership we enable technical and business teams to have full context to their data to improve trust, address compliance and power AI workloads.”

Together, Alteryx and Collibra empower customers with the end-to-end visibility needed to fuel trusted AI and analytical workloads.

Want to learn more about how Collibra and Alteryx can power AI-powered analytics in your business? Register for our webinar Accelerate AI-Ready Analytics with Trusted Data Lineage. Product experts from Alteryx and Collibra will show how end-to-end data lineage empowers teams to accelerate AI-ready analytics with trusted data.

Announcement: Alteryx has expanded its partnership with Google Cloud, bringing in-place analytics to BigQuery and enabling governed workflows to run directly in Google Cloud.
Read the announcement →
For years, business analysts prioritized speed while IT maintained strict security standards. The result was isolated analytics: often brilliant but disconnected, agile but completely ungoverned.
AI has ended that compromise.
When models drive critical decisions affecting revenue, compliance, and customer trust, “disconnected” becomes a major liability. Organizations require platforms that enable innovation and govern at the same speed. Alteryx One provides this essential balance, not by restricting users, but by embedding governance directly into the analytic workflow.
From managing data to managing logic
Chief Data Officers (CDOs) and Enterprise Architects are facing a new challenge. AI models do more than query databases; they execute logic that actively shapes business outcomes. A “black box” that recommends pricing, flags fraud, or segments customers introduces risks that traditional data governance was never designed to address.
The market has recognized this deficit. Demand for AI governance is surging as organizations deal with “Shadow AI” and struggle to explain how their models reach conclusions. Alteryx responds by treating the entire analytic process as the governed asset, not just the underlying data.
Deep lineage and comprehensive metadata tracking transform opaque workflows into mapped, auditable trails. IT leaders can now trace every transformation, calculation, and decision point. Self-service analytics moves beyond the “wild west” era to operate like controlled, flexible infrastructure that is fully visible.

LiveQuery: The power of in-place analytics

Enabling business users traditionally meant extracting data. Extracts created three problems: data escaped governed environments, permissions detached from the source, and analysts worked from snapshots that grew stale by the hour. LiveQuery eliminates this trade-off by pioneering what the industry now calls in-place analytics.
This concept overturns a long held assumption: that analytics tools must pull data to them. In-place analytics reverses this model. Instead of moving data to the analytics tool, LiveQuery pushes the computation to your cloud warehouse, whether it’s Snowflake, Databricks, or BigQuery where your data already resides — zero data movement. Alteryx One orchestrates the process rather than storing the data.
This architectural shift solves inherent problems that data movement could never address. For Heads of Analytics Platforms and Directors of Data Governance, in-place analytics means:

• Security is locked in at the source. Access controls (RBAC) defined in your warehouse apply automatically. Data never crosses secure boundaries. Permissions travel with the query, not with a downloaded CSV file.
• Compute scales seamlessly with your warehouse. Analysts can work with billions of rows using the same drag-and-drop interface, but the heavy lifting is executed in your elastic cloud infrastructure.
• Costs drop when data stops moving. Egress fees vanish when queries run in the warehouse instead of pulling data out. You pay for storage once, not twice.
  In-place analytics is more than a technical feature, it is a foundational governance philosophy. When analysis occurs where the data lives, security and performance cease to be competing priorities. IT maintains essential control without creating user friction.
  This model is especially powerful for organizations standardizing analytics and AI workloads in cloud platforms like Google Cloud, where data scale, performance, and governance must coexist by design.

In-place analytics, optimized for Google Cloud

As more organizations standardize on Google Cloud for analytics and AI, BigQuery has become the system of record for some of their most critical data. But centralizing data alone doesn’t solve a persistent challenge: The logic defining your metrics is rarely centralized; it’s often a mess of scattered SQL scripts, disconnected spreadsheets, and the ‘tribal knowledge’ of business users who simply know what the right answer should look like.
This is where an expanded partnership between Alteryx and Google Cloud comes into focus.
With Live Query for BigQuery, analytic workflows are built in Alteryx One and executed directly inside BigQuery, allowing teams to prepare data, apply business logic, and perform calculations where the data already lives. There are no extracts, no duplicated datasets, and no break in governance. Computation runs natively in Google Cloud, while Alteryx orchestrates the workflow and preserves full lineage and transparency.
For business teams, this means direct, intuitive access to BigQuery’s full-fidelity data without needing to write SQL or manage complex pipelines. Analysts and information workers can iterate quickly, adapt to changing business needs, and encode domain expertise into repeatable workflows — all while operating at warehouse scale.
For IT and data leaders, the benefits are architectural. Security controls remain enforced at the source. Governance is centralized. Shadow pipelines and unmanaged extracts are reduced. The result is a simpler, more trustworthy analytics environment that maximizes the value of existing Google Cloud investments.
Looking ahead, Alteryx plans to expand its Google-first offerings with Alteryx One: Google Edition, a purpose-built version of Alteryx One optimized for Google Cloud. When available, it will combine Alteryx’s governed analytics workflows with native connectivity to BigQuery and other Google tools, giving teams a more streamlined path from data to insight — without sacrificing control or explainability.
Together, Alteryx and Google Cloud bring the promise of in-place analytics to life for BigQuery users, helping organizations move faster while keeping analytics and AI grounded in trusted data and governed logic.

IT and business as partners, not adversaries

The traditional binary choice, lock down data or lose control, was always a false one. Alteryx One and LiveQuery prove that organizations don’t have to remove guardrails to increase speed. Instead, they make those guardrails invisible and intrinsic to the platform.
For Directors of BI, this dramatically reduces the backlog of simple data requests. Technical teams are freed from fielding routine transformation tickets, allowing them to focus on high-value infrastructure and complex AI engineering. For the C-suite, agility is no longer traded off against security.
The bottleneck disappears when governance is the foundation of the platform, not a process layered on top. IT and business teams stop negotiating access and start building together—using the same tools, adhering to the same standards, and operating within the same auditable fabric.
That is the true shift. It is not about achieving faster analytics despite governance, but achieving faster analytics because of it.
Learn more about the Alteryx and Google Cloud partnership
Explore how Alteryx and Google Cloud work together to bring governed, in-place analytics to BigQuery and help organizations move faster with trusted data and AI.

Alteryx + Elastic announce new partnership to accelerate GenAI with trusted data

As enterprises accelerate their Generative AI (GenAI) adoption, a critical question arises: How can we ensure GenAI delivers accurate, reliable, and business-ready outputs based on trusted internal data rather than generic internet sources?
That’s why we’re excited to announce a new technology partnership between Alteryx and Elastic that enables organizations to unlock the full potential of GenAI — grounded in trusted, enterprise-ready data. This alliance brings together Alteryx’s industry-leading data preparation and transformation capabilities with Elastic’s powerful vector database and semantic search engine.
“Partnering with Alteryx brings Elastic’s real-time search and observability data into the hands of the business user,” said Chad Thompson, VP of Product at Alteryx. “By combining Elastic’s powerful data discovery capabilities with Alteryx’s intuitive, governed analytics platform, we’re enabling customers to drive faster, smarter decisions and build AI-powered solutions that are grounded in the freshest, most relevant enterprise data. Together, Alteryx + Elastic unlock out-of-the-box ROI.”

Why is this important?

Nearly every organization is now integrating GenAI to drive productivity, automation, and smarter decision-making. However, they need assurance that GenAI outputs are:

• Accurate
• Free from hallucinations
• Grounded in trusted internal sources
  They want to avoid the risks of outdated or contextually irrelevant information often produced by public models. This is precisely what our joint solution addresses — creating a robust GenAI environment that delivers reliable, contextual answers based on enterprise data in both online and offline environments.
  “Businesses and governments around the world are working to enable large language models to reason using trusted, business-contextual enriched data and information,” said Serena Chou, Elastic Search AI Product Leader at Elastic. “Pairing Alteryx’s governed data transformation with Elasticsearch’s vector database and search is a game-changer, making enterprise data explorable, explainable and actionable at AI scale.”

How does it work?

At a high level, our architecture involves:

Data extraction and transformation with Alteryx

Using Alteryx’s advanced data preparation capabilities, we connect to multiple source systems to extract structured and unstructured data. Alteryx then:

• Cleans and standardizes data from disparate sources
• Transforms structured data into natural language text for GenAI consumption
• Enriches and blends data to create comprehensive, business-ready datasets

Vector database storage with Elasticsearch

Transformed data is loaded into Elasticsearch, enabling efficient semantic search and retrieval. This makes enterprise knowledge instantly accessible to GenAI agents.

GenAI integration

Finally, we integrate GenAI models (such as ChatGPT or local Large Language Models) with Elasticsearch, creating an intelligent, conversational interface to seamlessly access enterprise data.

Why Alteryx and Elasticsearch are a complementary solution

Elasticsearch is a powerful vector database and semantic search engine, built to unlock the full potential of evolving data — regardless of its type, source, or structure. To maximize this potential, data quality, structure, and readiness are key, and this is where Alteryx plays a critical role.

• End-to-end data preparation: Alteryx automates data extraction, cleansing, transformation, and natural language conversion — ensuring data is clean, enriched, and contextually meaningful before being ingested into Elasticsearch.
• No-code/low-code flexibility: Business users and data engineers can prepare data quickly without heavy coding, accelerating time to value.
• Scalability across sources: With its 300+ native connectors and advanced AI/ML capabilities, Alteryx can operationalize pipelines from multiple systems into Elasticsearch at scale.

When combined, Alteryx and Elasticsearch create a seamless pipeline:

• Blend and enrich multi-source data using Alteryx’s governed, visual workflows — injecting business context and metadata critical for accurate RAG retrieval.
• Index structured and unstructured datasets into Elasticsearch, powering lightning-fast hybrid and vector search — essential for grounding LLMs in trusted, relevant data.
• Democratize RAG pipelines with governance, scalability, and zero-code barriers, turning raw enterprise data into production-ready knowledge sources.

Unlocking real value from GenAI

The Alteryx + Elastic partnership isn’t just about technical integration — it’s about delivering tangible business outcomes that drive enterprise success. Here’s how organizations can benefit:

• Increased trust and adoption of GenAI: By grounding GenAI outputs in curated, contextually relevant enterprise data, organizations can trust the insights and recommendations provided by AI, reducing the risk of misinformation or hallucinations.
• Faster, more accurate decision-making: With instant, conversational access to enterprise knowledge, employees and executives can make informed decisions quickly, eliminating time wasted searching for information across silos.
• Enhanced productivity and efficiency: Automating data preparation, search, and retrieval streamlines workflows across departments allows teams to focus on generating value rather than wrangling data.
• Improved customer and employee experiences: GenAI-powered support and knowledge management deliver faster, more personalized responses, leading to higher satisfaction and a more agile organization.
• Stronger compliance and risk management: Making policy, regulatory, and compliance documents easily searchable reduces the risk of non-compliance and ensures teams always have the right information at their fingertips.
• Accelerated innovation and time-to-value: No-code/low-code data preparation and seamless GenAI integration mean new use cases can be operationalized quickly, allowing organizations to experiment and deploy solutions at scale.
• Competitive advantage through data-driven insights: By unlocking the full value of internal data and making it actionable through GenAI, organizations can identify new opportunities, optimize operations, and stay ahead of competitors.

Real-world use cases

The Alteryx + Elastic partnership unlocks a wide range of enterprise scenarios. Here are some generalized examples of how organizations can leverage this integrated solution:

• Knowledge management and retrieval: Enterprises generate vast amounts of internal knowledge through meetings, discussions, and documentation. By transforming and centralizing this information, employees can instantly retrieve key decisions, insights, and historical context without manually searching through disparate sources.
• Customer and employee support: Support functions often involve fragmented communication across emails, chats, and case management systems. Consolidating these into a searchable environment enables GenAI to provide quick summaries, context-specific answers, and faster resolutions for both internal teams and customers.
• Policy and compliance navigation: Navigating dense policy, regulatory, and compliance documents is time-consuming. Making these documents searchable through GenAI allows users to ask direct questions and receive precise, reliable answers instantly, ensuring compliance and operational efficiency.
• Structured data insights and reporting: Structured data, such as operational, financial, or performance datasets, can be transformed into natural language text, enabling GenAI to answer business questions conversationally. This empowers decision-makers to derive insights without relying solely on traditional BI dashboards.

The road ahead

Our new technology partnership between Alteryx and Elastic demonstrates how we can transform enterprise data landscapes, unlocking GenAI’s true value safely and efficiently. Alteryx ensures data is prepared, trusted, and contextually ready, while Elasticsearch provides high-performance storage and retrieval, and GenAI delivers human-like, actionable insights.
If you’re interested in learning how Alteryx and Elastic can enable your GenAI initiatives with trusted data preparation and operationalization, watch our demo video. Together, we can build intelligent solutions that transform your enterprise knowledge into a true competitive advantage.

At Alteryx, we believe analytics and AI should be both intelligent and intuitive. You’ll see that represented in our latest Alteryx One release that builds on our platform momentum with capabilities that seamlessly integrate AI into workflows, make the everyday work of prepping data faster, and improve cloud data platform investments with expanded connectivity and new marketplace listings.

AI that works the way you do

Let’s start with what I believe will be a major advancement for many teams. Users can now integrate the LLMs already trusted by their organization, including OpenAI, Gemini, and Anthropic, directly into workflows to solve challenges right where the data lives. Whether it’s summarizing customer feedback, transforming unstructured data, or generating compliant documentation, our GenAI tools, now generally available, make advanced analytics faster, safer, and more scalable than ever.

We’re also launching the general availability of Alteryx Copilot, the in-product AI partner for onboarding, building workflows, and answering questions in real time. With new features like Data Sampling, Workflow Summary, and enhanced edit controls, we’re making it easier for everyone to onboard and quickly surface insights with analytics.

Enterprise-grade governance for intelligent analytics

AI only delivers real value if you can trust the results. That trust starts with knowing exactly where data comes from, how it’s being used, and who has access to it.

With data lineage now built into Alteryx One through our partnerships with leading data catalogs Atlan and Collibra, users get end-to-end visibility into the journey of their data. By providing complete traceability from answer to source, data lineage ensures explainable and auditable analytics.

We’ve also added new ways to give teams the right level of access without slowing innovation. With Custom Roles, SCIM-based provisioning, and enhanced audit logging, IT teams gain precision control, automated provisioning, and visibility into how Alteryx is being used across the organization.

Meanwhile, updates to Auto Insights expand governance within analytics consumption. Organizations can now bring their own Azure AI LLM instance to Auto Insights, ensuring full alignment with their internal compliance and security policies.

Cloud connectivity and ecosystem momentum

As organizations continue their shift to the cloud, we’re making it simpler and faster to work with data wherever it lives. Our latest release includes several key integrations and marketplace expansions designed to maximize the value of existing cloud infrastructure.

LiveQuery for Snowflake is now generally available, letting users securely query live data in place, without costly data movement or duplication. Enhanced Google Drive and SharePoint connectors create a unified connection experience, while performance improvements in Databricks and Starburst integrations reduce processing times from hours to minutes.

And because simplicity matters at every stage, you can now purchase Alteryx directly through AWS, with GCP and Databricks Marketplaces coming soon, making adoption easier for teams already aligned with hyperscaler strategies.

Unified, scalable, and built for the future

Innovations in this release are made possible through our unified platform, Alteryx One. We built it to eliminate friction: one license, one admin center, one consistent experience, whether you’re working on desktop, hybrid, or cloud.

We’re ensuring that every Alteryx customer gets the full value of analytics, automation, and AI in one integrated experience and that leaders can align investment directly to value.

Building toward the era of agentic analytics

The latest innovations in this release are designed to do more than make analytics faster and workflows smarter; they represent a foundation for the future era of agentic analytics.

I’m excited about this next evolution of analytics, where intelligent agents will orchestrate entire workflows, surface insights in context, and help your organization make confident, data-driven decisions at scale.

Explore more of the Alteryx One Fall release and see how we’re bringing together AI innovation, governance, and cloud flexibility to help organizations accelerate insights with confidence.

One Platform for the Entire Analytics Journey

At the heart of Inspire, our annual analytics event, is the excitement of introducing new Alteryx features and releases. Today we launched Alteryx One, a new unified platform that brings together analytics, AI, and cloud capabilities with enterprise-grade governance and flexibility. Alteryx One represents a major step forward in how everyone, from business users to data scientists, can create AI-ready data with both speed and governance.

Alteryx One brings together everything teams need to access, prepare, analyze, and act on data. From a single login, users can build workflows, automate and orchestrate tasks, apply AI, and generate instant insights across cloud, desktop, and hybrid environments. Every part of the platform is designed to reduce complexity, increase reuse, and scale with confidence.

We’ve also introduced a new subscription model with editions that offer broader access to platform capabilities and support deployment across different environments. Read more about the new editions here.

Maximize the Power of Data Platforms

As more data moves to data platforms, organizations need simple, secure ways to give business users access to it without losing control. Alteryx One delivers a governed experience that supports both scale and speed.

Users can now connect directly to platforms like BigQuery, Databricks, and Snowflake to run analytics in place — without duplicating data. IT teams can manage access centrally through managed connectors and credentials, ensuring both control and efficiency.

As part of the new Alteryx One, our Spring Release also includes:

• New and improved connectors for Azure Synapse, Qlik, and Starburst
• Expanded capabilities in the in-database tools for advanced pushdown processing
• Support for cloud data platform datasets in analytic apps

These updates help simplify cloud adoption and improve performance while keeping governance front and center.

AI-Ready Data

The rise of generative AI has created urgent demand for high-quality, contextual, and governed data. But most enterprises aren’t ready. LLMs are trained on general knowledge, not business-specific context. Without clean, trusted inputs, their outputs are unreliable. Without governance, they introduce risk.

Alteryx One helps solve this with a new strategic initiative: the AI Clearinghouse. Building on our core strengths in data preparation, automation, and governance, Alteryx One serves as a central platform to create AI-ready data across the enterprise.

Teams can connect to siloed systems, automate data cleansing and enrichment, and apply business-specific logic to structure data for AI workloads. IT and compliance teams retain oversight while business users move faster.

From AI-Ready Data to AI-Powered Outcomes

With AI-ready data in place, Alteryx One brings the power of AI directly into the hands of business users. We’re excited to share the 2025 Spring Release also introduces new AI capabilities that make it faster and easier to generate insights, build workflows, and scale analytics.

• Magic Reports (General Availability)
  Generate dynamic, tailored reports instantly in Auto Insights, saving time and making it easier to share trusted insights across the business.
• Alteryx Copilot (Public Preview)
  Use natural language to build workflows, automate tasks, and get real-time guidance — whether you’re new to analytics or scaling enterprise use.
• GenAI Tools (Private Preview)
  Embed enterprise-approved LLMs like OpenAI, Gemini, and Anthropic directly into workflows to automate complex logic, accelerate prep, and drive intelligent outcomes.
• And, with the new AI Control Center, IT teams have more visibility and control over how all of this AI is used across their platform.

Together, these capabilities reduce the time from idea to insight — making AI more useful, accessible, and trusted across the organization.

Ready on Day One, Built to Grow

Whether your organization is just getting started or scaling advanced analytics across the enterprise, Alteryx One is ready to meet you where you are. It combines the ease of use that teams expect from Alteryx with the governance and flexibility that enterprises require.

Explore more of Alteryx One Spring Release and see how a unified platform can help your organization move faster and work smarter.

Additional Alteryx One platform and product resources include:

• Alteryx One Announcement Press Release
• Alteryx One Spring 2025 Release
• Alteryx AI Innovations
• Alteryx 25.1 Updates and Features