Alteryx Release Notes
Last updated: Apr 1, 2026
Alteryx Products
All Alteryx Release Notes (78)
- Apr 1, 2026
- Date parsed from source:Apr 1, 2026
- First seen by Releasebot:Apr 1, 2026
- Modified by Releasebot:Apr 1, 2026
Version 2026.3.2
Server removes feature flags for biometrics, organization emails, data recovery tools, and push notification updates, while improving Switzerland tax logic and delivering minor bug fixes and community-driven enhancements.
- Removed feature flag for biometrics refactor on Windows
- Removed feature flag for updated organization invitation email
- Removed feature flag for updated organization confirmation email
- Removed feature flag for data recovery tool
- Removed feature flag for push notifications infrastructure updates
- Updated tax logic for Switzerland
- Various under-the-hood improvements and minor bug fixes
Thank you! đ A big shout-out to the following community members for their contributions!
- mdusher - Add globalSettings.knownNetworks so that entire IP ranges can be used for trusting X-Forwarded-* headers
- Warfields - Add PQC TLS Support
- Mar 24, 2026
- Date parsed from source:Mar 24, 2026
- First seen by Releasebot:Mar 25, 2026
Version 2026.3.1
Server fixes an issue that could cause cipher key corruption under certain conditions.
Fixed an issue that could cause cipher key corruption under certain conditions.
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- Mar 18, 2026
- Date parsed from source:Mar 18, 2026
- First seen by Releasebot:Mar 18, 2026
Version 2026.3.0
Server releases admin portal feature-flag cleanups removing several flags and applying under-the-hood fixes to improve stability.
Release notes
- Added option in system administration portal to disable My Items
- Removed feature flag for multi-thread decryption
- Removed feature flag for SSH key storage and SSH Agent
- Removed feature flag for creating My Items for users who are revoked then restored
- Removed feature flag for refactor of InMemoryApplicationCacheService instantiation to help prevent pod stampedes
- Various under-the-hood improvements and minor bug fixes
- Thank you! đ A big shout-out to the following community members for their contributions!
- lahma - Use SchedulerBuilder to configure Quartz
- Mar 3, 2026
- Date parsed from source:Mar 3, 2026
- First seen by Releasebot:Mar 4, 2026
Version 2026.2.1
Updated email templates for organization invitations
Removed feature flag for Premium risk insights
Removed feature flag for claimed domain account creation policy
Removed feature flag for new organization metadata structure
Various under-the-hood improvements and minor bug fixes
Thank you! đ A big shout-out to the following community members for their contributions!
- [+jolness1+|https://github.com/jolness1] - Change hardcoded 5 key WebAuthn limit for login to check if premium
- Feb 24, 2026
- Date parsed from source:Feb 24, 2026
- First seen by Releasebot:Feb 25, 2026
Gain Data Transparency with Collibra and Alteryx
Alteryx and Collibra announce end-to-end data lineage integration powering trusted AI analytics. The joint solution delivers full traceability from data origin to outcomes, boosting compliance, data quality, and risk reduction across AI workflows.
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 â 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 âOur 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.â
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.
Original source Report a problem - Feb 18, 2026
- Date parsed from source:Feb 18, 2026
- First seen by Releasebot:Feb 18, 2026
Version 2026.2.0
Release Notes
- Added endpoints to public API for revoke and restore members
- Removed feature flag for Premium risk insights
- Removed feature flag for improved loading states
- Removed feature flag for performance improvements to re-invite endpoint
- Various under-the-hood improvements and minor bug fixes
Acknowledgments
- Thank you! đ A big shout-out to the following community members for their contributions!
- jolness1 - Change hardcoded 5 key WebAuthn limit for login to check if premium
- Feb 4, 2026
- Date parsed from source:Feb 4, 2026
- First seen by Releasebot:Feb 17, 2026
Version 2026.1.1
Release notes
- Removed feature flag for disabling type zero encryption
- Removed feature flag for notifications to locked and inactive accounts
- Removed feature flag for redirect on SSO required error
- Users who inherit Premium from their organization membership now have 5Gb of storage
- Added new endpoints for Send
- Updates to email copy
- Security fixes for logging
- Various under-the-hood improvements and minor bug fixes
- Jan 28, 2026
- Date parsed from source:Jan 28, 2026
- First seen by Releasebot:Jan 30, 2026
In-Place Analytics: The Foundation for AI Governance in the Cloud
Alteryx expands its Google Cloud partnership with LiveQuery for BigQuery, enabling inâplace analytics that run where data lives while preserving governance. This update brings governed, warehouseâscale analytics to Google Cloud and tightens data security with native workflow orchestration.
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 â
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, âdisconnectedâ 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 âblack boxâ 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 âShadow AIâ 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 âwild westâ 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 itâs Snowflake, Databricks, or BigQuery where your data already resides â 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 doesnât solve a persistent challenge: The logic defining your metrics is rarely centralized; itâs often a mess of scattered SQL scripts, disconnected spreadsheets, and the âtribal knowledgeâ 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 BigQueryâs 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 â 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 Alteryxâs governed analytics workflows with native connectivity to BigQuery and other Google tools, giving teams a more streamlined path from data to insight â 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 donât have to remove guardrails to increase speed. Instead, they make those guardrails invisible and intrinsic to the platform.
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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 togetherâusing 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. - Jan 22, 2026
- Date parsed from source:Jan 22, 2026
- First seen by Releasebot:Feb 17, 2026
Version 2026.1.0
Updates to welcome email for new users
- Removed feature flag for new unlock data model
- Removed feature flag for My Items
- Removed feature flag for organization users endpoint optimization
- Various under-the-hood improvements and minor bug fixes.
- January 2026
- No date parsed from source.
- First seen by Releasebot:Jan 12, 2026
Decoupled Designer and Server Updates
Alteryx plans to decouple Designer and Server updates to speed access to new features and cut IT overhead. Designers upgrade independently with publish warnings to older Servers, improving flexibility. Full decoupling is slated for 2026.1 with ongoing compatibility notes for workflow execution.
To modernize the update experience and reduce IT overhead, Alteryx has decoupled Designer and Server updates. This change allows you to upgrade Designer independently from Server, so users can immediately access the latest Designer features without waiting for Server approval or environment upgrades. This improvement streamlines adoption, accelerates access to new functionality, and reduces delays especially for organizations with lengthy Server update cycles.
With this enhancement, assets built in newer versions of Designer are no longer blocked from being published to older Server environments. Instead of a blocking error, users will now see a warning and can choose whether to proceed, empowering teams with more flexibility while reducing workflow disruptions.
For important details (including potential limitations) and ongoing updates, go to Designer Server Version Compatibility.
Workflow Execution
In the 2025.2 release, the previous Designer-Server version compatibility limitations still apply to workflow execution. That is, you can't execute workflows created in a newer version of Designer than Server.
The 2026.1 release will be the first release where you can take advantage of the decoupling between Designer and Server. That is, you can upgrade Designer to 26.1 and save and execute 26.1 workflows in Server 25.2 (noting Potential Execution Impacts).
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