🎉 What’s New

A smarter way to request access! Users can now raise access requests at the database or schema level—eliminating the need to submit individual requests for each table or view. This makes access management faster, easier, and more scalable across large datasets.

📍 Request Access at a Higher Level

• Raise access requests at the Database or Schema level instead of individual assets
• Once approved, access is automatically granted to all child assets

⚙️ Configurable Access Management Workflows

• Admins can set up workflows to:

  • Grant access directly in Atlan
  • Or trigger external access flows via Jira, ServiceNow, or Webhooks

🛠 Approvals & Controls

• Approve or reject access requests at the database or schema level
• Any user assigned as an approver—whether Admin, Member, or Guest—can take action
• Admins can revoke access directly within Atlan or trigger revocation through connected source systems

🔔 Notifications & Tracking

• Automated alerts for access and revoke events via Inbox or Slack
• Full visibility into request status, who approved it, and when

👏 Give it a shot

This capability is now live in Public Preview for all organizations using Governance Workflows. Admins can immediately start using it in Access Management templates to speed up and simplify data access.

📘 Learn More:

• How to automate data governance

🎉 What’s new

You can now define asset scope in policy rules using either:

• Match All (AND condition): Assets must meet all selected criteria.
• Match Any (OR condition): Assets can meet any of the selected criteria.

✨  Let's dig deeper

This enhancement eliminates the need for duplicating policies when asset selection requires OR logic—making policy management faster, simpler, and more flexible.

• Save time: No more creating multiple policies for similar use cases.
• Simplify configurations: Handle complex asset selection within a single policy.
• Increase flexibility: Curate the exact asset scope you need with Match Any or Match All.

👏 Give it a shot

All users using the policy center, currently in public preview, can check out this feature! Join the conversation and help shape the future of policy center.

🎉 What’s new

Product lineage just got a 10x upgrade! Product lineage will now be generated even if the data products belong to different domains or have been modified after they are created or even archived. This release includes other improvements as well, making the depiction of dependencies between your data products automated and powerful.

✨ Let’s dig deeper

First, let's briefly revisit how product lineage works. If asset A is an output port in a data product A and a regular asset (not marked as an output port) is in data product B, then product lineage will be generated between data products A and B.

Data product lineage is now updated in the following conditions:

• Data products belong to the same or different domains.
• The asset selection in a data product is modified forming new links via output ports.
• Assets are marked as output ports OR previous output ports are unmarked.
• Data products are archived, thus removing them from product lineage.
• A data products asset list is updated when new assets satisfy the filter conditions (this is for data products created using filter rules).

Product lineage is now generated in an async manner. This means there is a time gap from the last action that can update lineage (like marking an asset as an output port) to the changes being reflected in the lineage. This time gap is around 30 minutes to an hour. Most importantly, product lineage will not be generated when any participating product has more than 30,000 assets.

Any past product lineage links that were not present due to products being in different domains will now fully reflect the updated lineage, and without requiring any action from you.

👏 Give it a shot

Visit your favorite data product today and explore a more powerful product lineage experience! Create new data products to build out and experience the new product lineage. If you do not have data products enabled, you can head over to Labs (as an admin user) and turn on the products module!

Learn more: What is business lineage?

And while you try it out, let us know what you think!

🎉 What's new

By popular demand, we are now enabling teams to define compliance conditions on assets and ensure that governance policies are enforced.

With rules in the Policy Center, you now can: 

• Define compliance rules at a policy level — for example, a GDPR policy will be breached if an asset within the scope of the policy does not have a PII tag.
• Automatically create incidents when any changes to scoped assets violate these rules.

✨ Let's dig deeper

Previously, while policies helped define governance guidelines, there was no way to define the specifications of what the assets in scope should comply to. The only automated incident triggers occurred when scope definitions were changed. With this change, organizations can now proactively define and enforce compliance conditions, ensuring automated governance across their data assets.

👏 Give it a shot

Check this out in the Policy Center and help your organization comply with policies and build confidence with responsible governance and access management. 

Learn more:

• How to automate policy compliance
• How to create policies
• How to manage policies
• Troubleshooting policies

🎉 What's new

Lead the charge on data governance with Google BigQuery tag management in Atlan! Atlan allows you to import your  BigQuery tags and policy tags and update your BigQuery assets with the imported tags.

Tag sync is currently one way — Google BigQuery ➡️ Atlan:

✨ Let's dig deeper

Tags created natively or sourced from Google BigQuery can now be imported to and managed within Atlan. You can also attach Google BigQuery tags, including tag values and hierarchies, to your Google BigQuery assets in Atlan.

To import Google BigQuery tags to Atlan, you can either:

• Create a new Google BigQuery workflow and configure the crawler to import tags.
• Modify the crawler's configuration for an existing Google BigQuery workflow to change Import Tags to Yes.

👏 Give it a shot

Learn more about Google BigQuery tag management here:

• How to manage Google BigQuery tags
• How to set up Google BigQuery
• How to crawl Google BigQuery
• How to attach a tag

Supercharge your active data governance efforts with Google BigQuery tag management in Atlan!

🎉 What's new

You can now search and discover data products from the Assets discovery page! If you have enabled the products module as an Atlan admin, turn on the Show products in asset discovery toggle to allow your users to search for data products on the assets page or using the search bar.

✨ Let's dig deeper

When you publish a new product in Atlan today, you will be able to find that product right from the Assets page. The filters for owners, domains, terms, and more work for products just like assets. The data products returned in the search results sport product-specific metadata such as product score and output ports.

This feature helps your users discover data products from wherever they are in Atlan, just start typing in the search bar!

👏 Give it a shot

Enjoy a more powerful discovery experience on the assets page for your data products. And while you try it out, let us know what you think!

Learn more:

• What are data products?
• How to create data products
• How to search and discover assets

🎉 What's new

Atlan now empowers you to set a custom landing page for your personas! This helps you curate a personalized and focused experience for your users.

For the Navigation preference in personas, you can select the Custom option to specify a path to the page in Atlan you want your users to land on. For example, you can set the URL to point your users to a specific data domain or a group of assets in a particular connection, take your pick! Quick note, please ensure that the landing page is accessible to users in the persona.

Learn more: How to create a persona

🎉 What's new

You can now save data products as draft in Atlan! Take the time you need to curate your data products before unveiling them to your data teams. 

✨ Let's dig deeper

When you create a new product in Atlan, you will now have the option to Save as draft on the very last step of the product creation flow:

• Save your changes in a draft version and publish it only when you're ready. Atlan recommends that you enrich your draft product with requisite documentation and certification status before publishing it.
• Only you and any other users you add as owners to the product will be able to search for, view, and edit your draft products, depending on their permissions. You can also archive a draft product, which would delete it entirely.
• Navigate to My drafts on the products homepage to view all your draft products. Only a draft product's lineage graph shows lineage with the draft product included, to help you envision the future state.
• A draft product will not show up in search, on the sidebar, or product lineage view for other products.
• You can also change the status of a published data product to Draft if you think it needs more work.

👏 Give it a shot

Enjoy the time and freedom to curate your products your way with draft mode. And while you try it, let us know what you think!

Learn more: How to create data products

🎉 What's new

We've enhanced how Atlan handles tag sync for modified workflow configurations. Previously, disabling tag import would remove any imported tags from your assets. Now, when you modify a workflow to disable tag import, Atlan will automatically preserve all previously imported tags while preventing future tag import. This improvement maintains data continuity and protects your existing tag attachments.

Atlan currently supports importing tags from the following data sources:

• Databricks
• dbt
• Snowflake

🎉 What's new

Introducing a brand-new Monitor tab that makes monitoring and managing your playbooks a breeze!

 ✨ Let's dig deeper

Here's what's new for you:

• Central monitoring hub: get a bird’s-eye view of all your playbook runs —Successful, Running, Scheduled, Stopped and Waiting to start — all in one place!
• Stop playbooks: we’ve brought the stop playbook button front and center, no more digging around.
• Handy activity widgets: these widgets aggregate helpful stats for your playbooks.  
  • Assets updated: quickly view the assets impacted by your playbooks, with easy-to-use date filters.
  • Playbook run history: track the frequency of your playbook runs over time.

👏 Give it a shot

Check out these upgrades to monitoring your playbooks and let us know what you think!

As a bonus, here's what's coming soon:

• A new status to differentiate playbooks that are actively executing actions from those still queued, replacing the generic In Progress label for clearer insights.
• Visibility into tag propagation tasks, so you’re never left guessing what's happening behind the scenes.