🎉 What’s New
Atlan's Data Quality Studio is now available in Public Preview.

Data Quality Studio provides comprehensive data quality monitoring and governance capabilities across your data sources. 

Monitor data quality metrics, set up automated quality checks, configure real-time alerts, and establish governance workflows to maintain high data standards throughout your organization.

With native integration to Databricks and Snowflake, you can leverage platform-specific data quality functions and create rules that automatically validate your data assets. 

The studio helps you identify data quality issues early, track quality trends over time, and maintain compliance with your data governance policies.

📘 Learn More

• Admins can enable DQS in the Labs section of Atlan, after which your Atlan success manager will connect with you for enablement
• Detailed docs at here

🎉 What’s New
Atlan now supports BigQuery Routines — Stored Procedures, Table Functions, and UDFs — as first-class assets.

✨ What’s in Store

• Routines can be searched, discovered, and enriched with business context for stronger governance.
• In lineage, routines appear as related assets within the lineage tab — keeping views compact and table-centric while still showing where routines are used.

👏 Give it a Shot
Start exploring BigQuery Routines in Atlan today — and let us know what you think!

📘 Learn More

• What does Atlan crawl from Google BigQuery?
• Routines and Process assets

🎉 What’s New

Atlan now supports concatenation of multiple tag values for Snowflake objects when reverse sync is enabled.

✨ What’s in Store

• Multiple tag values can now be concatenated and reverse-synced to Snowflake, which are propagated via hierarchy or lineage. 
• Tag values are automatically sorted alphabetically.
• Concatenated into a single string using a configurable delimiter.

👏 Give it a Shot

Enable tag value concatenation in Atlan now  — and let us know what you think!

📘 Learn More

• Manage Snowflake tags
• Manage tag values and concatenation

🎉 What’s new

Request Access to Data Products is live!

You can now configure governance workflows in Atlan to manage access requests for data products, bringing the same powerful approval capabilities you know and love to your most valuable, curated assets.

✨ Let’s dig deeper

Data products are increasingly central to how organizations deliver trusted, business-ready data. With this update, you can now apply the same access control workflows to data products that were previously available for SQL and BI assets.

🔓 Request Access with a Click

You can now bring data products in your list of assets when you configure a data access governance workflow.

Once you configure a governance workflow for a data product(s), users will see a "Request data access" button on the data product profile—just like for other governed assets. Clicking this initiates a data access workflow.

⚙️ Powered by Governance Workflows

These requests are handled by governance workflows, where you can:

• Define approval conditions
• Set manual or auto-approval paths
• Route requests through teams or individuals for review
• Fulfill access via external tools like JIRA, ServiceNow, or webhooks

This ensures that access to sensitive or business-critical data products is tightly governed and auditable.

👏 Give it a shot

Set up a data access Governance Workflows on a data product and get your consumers to request access to it!
With this update, you're one step closer to fully governed, self-serve access—from raw tables to curated data products! And while you try it, please let us know what you think!

🎉 What’s new

Say hello to Enhanced Metadata Policies in Atlan! You can now create dynamic, rule-based metadata policies inside personas—making governance more scalable, flexible, and precise than ever before.

✨ Let’s dig deeper

With this update, you no longer need to manually select individual assets when setting up metadata access controls. Instead, you can build policies using dynamic filter rules—based on asset metadata like tags, schema, database, or qualified names.

Here’s how it works:

🧩 Create metadata policies using flexible rules

• Each rule filters assets based on metadata fields such as:

  • ✅ Tags (with support for tag values as well)
  • ✅ Schema Qualified Name
  • ✅ Database Qualified Name
  • ✅ Asset Qualified name
• These rules are composed inside personas, directly from the “Metadata Policies” section.

➕ Use up to 3 rules per policy

• You can combine up to three rules to define asset access.
• This makes your policy both powerful and targeted—no manual asset selection needed.

🌐 Requires connection selection first

• Before adding any rules, you must select a data connection.
• This ensures your filters are applied within the right context and metadata scope.

Why this matters: Dynamic rules let you govern entire categories of assets with just a few clicks, supporting governance at scale while staying maintainable and auditable.

Note- This feature won't work today if you have data quality turned on for your Atlan instance.

👏 Give it a shot

Try building your first rule-based metadata policy inside a persona today! Whether you're granting access to all Snowflake assets inside a connection tagged “PII” or restricting access to specific schemas, this new system makes it faster and smarter to govern access dynamically.

Let us know how you’re using it—we’re excited to hear what you think!

🎉 What’s new

Atlan now supports an OpenLineage based integration with Alteryx! This allows you to catalog, discover, and manage your Alteryx workflows data assets, providing you with seamless access to real-time data flows.

✨ Let’s dig deeper

You can setup the Alteryx connector to seamlessly discover and document your Alteryx workflows

• Explore workflow lineage, workflow inputs & outputs
• Explore asset level lineage across your metadata estate
• Enrich assets with metadata: descriptions, tags, terms and beyond

👏 Give it a shot

Ready to integrate Alteryx with Atlan? Get started today!

Interested in additional OpenLineage or Alteryx integrations? Reach out!

🎉 What's new

Access requests just got better!
You can now request access to BI assets directly within Atlan—just like you do for tables, views, and other data assets. Whether it's a dashboard in Power BI or a workbook in Tableau, this update helps streamline how users gain access to governed BI assets in your workspace.

✨ Let’s dig deeper

Here’s what this means for your data consumers and stewards:

🔓 Request Access on BI Assets

Users can now initiate access requests from:

• BI dashboards
• Reports
• Workbooks
  All these assets now show a "Request Access" button in Atlan, making governed BI assets part of the self-serve experience.

🛠️ Flexible Fulfillment Options

Once a request is raised, access can be granted using one of the following methods:

• ✅ JIRA ticket generation
• ✅ ServiceNow ticket generation
• ✅ Webhook with a customizable payload
  This ensures your existing IT and approval workflows remain fully in control.

⚠️ SQL + BI Assets? Here’s the catch.

If a request includes both SQL and BI assets, then:

• SQL assets may be fulfilled automatically via Atlan’s Insights module (if enabled)
• BI assets, however, will follow the external fulfillment process (JIRA/ServiceNow/Webhook)

This ensures compliance and auditability, while allowing flexibility in how access is granted across asset types.

Note: Fulfillment for BI assets does not currently support direct access provisioning inside Atlan.

👏 Give it a shot

Start exploring governed Access Requests on BI assets today—streamline how business users access dashboards, reports, and visualizations while keeping governance workflows intact. We can’t wait to hear how this simplifies your access management!

🎉 What’s new
Atlan now supports Databricks Struct datatypes, giving you complete visibility into nested fields for the first time.

✨ What’s in Store

• Explore Struct fields with an interactive tree view—expand & collapse for clear visualization.
• Seamlessly navigate Structs just like simple columns.
• Full metadata context now available for all Struct fields.

👏 Give it a shot

Start exploring Databricks Struct fields in Atlan today — and let us know what you think!

📘 Learn More

• What does Atlan crawl from Databricks?

🎉 What’s new

We’ve launched a new connector for Informatica Cloud Data Integration (CDI). You can now extract detailed metadata from CDI Mapping Tasks , and visualize complex lineage flows across source and target database systems. This capability further bolsters use-cases around end-to-end lineage including - impact analysis, regulatory reporting, data engineering change management as well as better context for AI use-cases.

✨ Let’s dig deeper

Here’s what you can expect from the new connector:

• Capture metadata from Informatica Cloud Mapping Tasks and underlying Transformations
• Automatically parse SQL Overrides to show accurate data flow
• Resolve parameter references by parsing parameter files
• Get full column-level lineage across source, target and transformations
• Visualize how data flows across systems via Informatica CDI ETL connector

Your CDI based data pipeline is now traceable inside Atlan's lineage canvas.

👏 Give it a shot

Reach out to your account team to enable this connector on your instance.

Post that head to New Workflow > Marketplace and select Informatica CDI Assets to get started.

• Enter your CDI credentials and connection info
• Choose the projects/folders to include/exclude in the scan
• Upload parameter files (if any)
• Run the workflow and browse the resulting assets and lineage