Alteryx Products
All Alteryx Release Notes
- Dec 8, 2025
- Parsed from source:Dec 8, 2025
- Detected by Releasebot:Dec 9, 2025
Alteryx and Elastic: Powering Trusted Data for Generative AI
Alteryx and Elastic unveil a joint GenAI integration that grounds AI outputs in enterprise data through Alteryx prep and Elasticsearch vector search. The partnership targets faster trusted decisions with no‑code workflows and scalable governance for enterprise RAG.
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They want to avoid the risks of outdated or contextually irrelevant information often produced by public models.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.
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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. - Dec 8, 2025
- Parsed from source:Dec 8, 2025
- Detected by Releasebot:Dec 9, 2025
Alteryx and Elastic: Powering Trusted Data for Generative AI
- Dec 3, 2025
- Parsed from source:Dec 3, 2025
- Detected by Releasebot:Dec 3, 2025
- Modified by Releasebot:Dec 20, 2025
Alteryx One Fall Release Powers the Next Wave of Intelligent Analytics
Alteryx One release
Learn about the latest Alteryx One release that makes the everyday work of prepping data faster and improves cloud data platform investments...
Original source Report a problem - Dec 3, 2025
- Parsed from source:Dec 3, 2025
- Detected by Releasebot:Dec 4, 2025
2025.2
Version
Version: 2025.2.1.24 (Go to Release Notes )
Release Date
Release Date: December 3, 2025
Original source Report a problem - Dec 3, 2025
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Alteryx One Fall Release Powers the Next Wave of Intelligent Analytics
Alteryx One Fall release unveils GA GenAI in workflows with OpenAI, Gemini, and Anthropic, plus Copilot, data lineage, and governance. It also boosts cloud connectors, LiveQuery for Snowflake, and marketplace availability to simplify AI powered analytics across clouds.
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.
Original source Report a problem - Dec 3, 2025
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Server 2025.2
New release adds Alteryx One data lineage connection, streamlined host recovery, enhanced APIs for job monitoring and DCM, and workflow endpoints. It also enables scheduling Analytic Apps, credentials UI refinements, and front end upgrades to React 19 and Router v7 for a faster, smoother experience.
What's New in Server
Version: 2025.2.1.24
Release Date: December 3, 2025New Features
Server Connection to Alteryx One
The Controller page now includes a new Connections – Alteryx One feature. This update simplifies how you connect your Alteryx Server environment to the Alteryx One Platform. It introduces a streamlined way to configure data lineage connections and send lineage metadata from Server to an external data catalog—such as Atlan or Collibra—through Alteryx One.
Admins can now use their Alteryx One Workspace account to authenticate and connect Server to Alteryx One. To enable the integration, generate a Server Link Payload from Alteryx One. Then, paste the payload into the Controller configuration page in Alteryx System Settings and test the connection.
Note
The Service Principal used for Server-Alteryx One communication must have the Admin role in Alteryx One. Custom roles with reduced permissions are not currently supported.
For details on generating and using the Server Link Payload, refer to the Data Lineage Connection and Controller documentation. If your organization uses proxies, make sure to whitelist the required Alteryx Platform Services endpoints.Updated Server Host Recovery Process
We’ve improved the Server host recovery process to reduce complexity and risk during upgrades or infrastructure changes. Previously, host recovery was highly manual and involved over 40 steps, which often led to hesitation and challenges, especially when migrating from end-of-life operating systems or moving to new environments.
Now, you can choose between 2 recovery paths:- Manual Path: Complete each step yourself. This path works best for custom environments or where scripting isn’t available.
- Scripted Path: Use our new recovery script to automate the first 4 sections—preparation, installation, restoring RuntimeSettings and MongoDB—from the Server Host Recovery Guide. Then complete the remaining steps manually. This reduces manual effort and standardizes recovery, especially when using embedded MongoDB. You can download the script from the License Portal.
For more information on the host recovery process, go to Server Host Recovery Guide.
Server API Updates
New API Endpoint for Monitoring Running Jobs
A new endpoint, GET /v3/jobs, is now available for Curators to efficiently monitor all currently queued and running jobs on the Server. This API returns enriched job data in JSON, including Job ID, Status (Queued, Running, Completed, Initializing), Workflow Name and ID, submitting user, start time, queue time, execution duration, and priority (if applicable).
By providing a comprehensive overview in a single call, Curators can quickly assess system health, detect issues, and automate interventions—without querying jobs one by one. This API endpoint reduces support load, enables faster responses to job queue issues, and empowers Curators to take confident, independent actions such as job cancellations.
For more details about this endpoint, go to Job Endpoints.Expanding DCM API to Support SDK Connectors
The Data Connection Manager (DCM) API has been expanded to fully support SDK-based connectors, enabling end-to-end lifecycle management via API. This enhancement will enable the automated, API-driven creation, updating, deletion, and retrieval of SDK connector-based connections, unlocking broader automation and integration use cases across cloud and desktop workflows.
For more details, go to DCM Endpoints.Workflow Endpoints Updated with New Parameter
To support decoupled Designer and Server updates, a new parameter—bypassWorkflowVersionCheck—has been added to the following workflow endpoints:
- POST /v3/workflows
- POST /v3/workflows/{workflowId}/versions
With this update, you can now use the bypassWorkflowVersionCheck flag when uploading an asset directly to Server via the REST API. This allows you to bypass the guardrail that typically blocks uploads if the Server version is older than the workflow version. For more details on usage, refer to Workflow Endpoints.
Schedule Analytic Apps Directly from the Server UI
You can now schedule Analytic Apps directly from the Server UI. This feature lets you run apps automatically based on customizable day, time, and recurrence settings. It also allows you to maintain a single, centralized workflow or app while giving you the flexibility to specify different input values for each scheduled run.
To schedule an Analytic App, simply select the app in the Server UI, select Schedule, set your preferences, complete any required input fields, and save the schedule. For more information, refer to the Schedule a Workflow help page.Credentials UI Enhancements
This update delivers a range of UI improvements to the credentials management experience. It addresses usability feedback, resolves visual inconsistencies, and supports edge-case scenarios not included in the 2025.1 release.
You can now use duplicate credentials—even if they aren’t shared through the Alteryx Server platform.
These enhancements align the Credentials interface with platform standards and user expectations.React 19 Upgrade
Alteryx Server has been upgraded to React 19, taking advantage of the latest features and performance improvements introduced in the React ecosystem. This upgrade reduces bundle size, streamlines the user experience, and ensures compatibility with the latest Onyx UI components. With React 19 now supported by both Server and Onyx, future upgrades will be smoother and more consistent across Alteryx products.
React Router Upgraded to v7 in Server UI
We’ve upgraded react-router in Server UI from version 5.1.2 to 7.8.2, bringing major improvements in performance, bundle size, and routing flexibility. This update enables more efficient data loading, simpler error handling, and lays the foundation for faster navigation and future feature enhancements.
Original source Report a problem - December 2025
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- Detected by Releasebot:Dec 31, 2025
Suppress Errors via Control Containers
We have introduced robust error suppression within Control Containers. Use this to prevent workflow failures due to localized issues, enable visibility into captured errors, and create intelligent routing logic.
With error suppression, fewer workflows fail unexpectedly, less manual effort is needed to rerun or patch jobs due to transient or expected issues, Server admins don't need to sift through noisy logs to find meaningful problems, and teams can automate more complex logic (for example, retries, conditionals) without external scripting. For details, go to Control Container Tool.
Original source Report a problem - December 2025
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- Detected by Releasebot:Dec 5, 2025
Suppress Errors via Control Containers
We have introduced robust error suppression within Control Containers. Use this to prevent workflow failures due to localized issues, enable visibility into captured errors, and create intelligent routing logic.
With error suppression, fewer workflows fail unexpectedly, less manual effort is needed to rerun or patch jobs due to transient or expected issues, Server admins don’t need to sift through noisy logs to find meaningful problems, and teams can automate more complex logic (for example, retries, conditionals) without external scripting. For details, go to Control Container Tool.
Original source Report a problem - December 2025
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- Detected by Releasebot:Dec 31, 2025
Removal of Laboratory Tools
Alteryx removes Lab tools and deprecates Connect JSON Builder and Connect Output, moving them to a hidden deprecated Connect category. These tools are no longer officially supported and not visible unless Show Deprecated Tools is enabled.
We have removed these tools from the Laboratory tool category:
- Transpose In-DB: If you still need to access this tool, right-click the Designer tool palette and select Show Deprecated Tools.
- The Connect JSON Builder and Connect Output tools have been officially deprecated and moved from the Laboratory category to the Connect category in Designer. Note that by default, the Connect category is hidden, as all tools within it are deprecated. As a result, you can't see these tools unless you specifically choose to Show Deprecated Tools in Designer.
These tools were experimental and not officially supported by Alteryx.
Original source Report a problem - December 2025
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- Detected by Releasebot:Dec 4, 2025
- Modified by Releasebot:Dec 5, 2025
Removal of Laboratory Tools
Tools removed from Laboratory tool category and deprecated: Transpose In-DB, Connect JSON Builder, and Connect Output have moved to Connect and are hidden by default. These tools were experimental and not officially supported.
We have removed these tools from the Laboratory tool category
- Transpose In-DB: If you still need to access this tool, right-click the Designer tool palette and select Show Deprecated Tools.
- The Connect JSON Builder and Connect Output tools have been officially deprecated and moved from the Laboratory category to the Connect category in Designer. Note that by default, the Connect category is hidden, as all tools within it are deprecated. As a result, you can't see these tools unless you specifically choose to Show Deprecated Tools in Designer.
These tools were experimental and not officially supported by Alteryx.
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