Alteryx Release Notes

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.

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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.

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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.

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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.

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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

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