🎉 What’s new

Introducing Downstream Activity on Data Products!

You can now get a complete picture of where and how your data products are being used—with visibility into downstream data products in their lineage. This helps teams better understand impact, dependency, and reach across the data ecosystem.

✨ Let’s dig deeper

When working with data products, it’s critical to understand their downstream relationships—especially when planning updates, monitoring usage, or investigating quality issues. With this enhancement, Atlan now shows you:

🔁 Downstream Data Products

• A dedicated Downstream panel now appears on the data product page
• It lists all other data products that depend on or use this data product
• You'll see linked product names, ownership, and the containing domain/subdomain—so you can quickly trace the flow of data and responsibility

🔍 Complementary Insights

Alongside the downstream view, you could already see:

• Activity log: Who changed what and when
• Views: Which users are actively engaging with the product
• Editors: Who last updated the product and when

Together, these views give you a 360° view of your data product’s lifecycle and impact.

Why this matters: Whether you're troubleshooting an issue, planning a schema update, or just documenting impact, downstream visibility helps avoid surprises and drive better decisions.

👏 Give it a shot

Open any data product and explore its Downstream tab to see what other products rely on it. With this update, you can manage your data supply chain with more confidence than ever.

Let us know how this helps your team work smarter with data products!

We’re thrilled to announce that Data Quality Studio is officially GA (Generally Available)! 🎉

What it is:

Data Quality Studio enables business and data teams to collaborate in one workspace to define, automate, and monitor rules that mirror real-world, business-defined expectations — ensuring analytics and AI run on purpose-built, trustworthy data.

Key capabilities include:

• Business-friendly UI to enable non technical users to setup quality rules.
  
  
• Cloud-native execution of checks directly in Snowflake or Databricks
  
  
• AI-powered rule suggestions based on metadata
  
  
• No-code rule creation, custom SQL support, and smart scheduling
  
  
• Smart notifications through Slack and Teams, with routing based on domain or database
  
  
• Quality signals embedded into reporting to build lasting data trust

Supported platforms:

Data Quality Studio supports both Snowflake and Databricks — checks execute natively within those warehouses. 

Accessing Data Quality Studio:

You can request access via the Labs section in Atlan.

👉 Full documentation is available here.

Upgrade note:

To access the latest GA features of Data Quality Studio, please upgrade to the latest version of the Atlan SDK. This ensures compatibility and unlocks all improvements.

A big thank you ❤️

We extend our heartfelt thanks to our customers and design partners who provided invaluable feedback during the preview phase. Your insights helped refine the product into what it is today.

What’s next:

We have an exciting roadmap ahead — including BigQuery integration, deeper remediation flows, an enhanced AI assistant, and much more. Stay tuned for what’s coming next!

🎉 What’s New
Atlan now supports SAP HANA User Defined Functions (UDFs) as first-class assets.  There are two different kinds of user-defined functions (UDF) in SAP HANA: Table User-Defined Functions and Scalar User-Defined Functions.

✨ What’s in Store

• UDFs can be searched, discovered, and enriched with business context for stronger governance.

In the future, UDFs will also have lineage support for use in calculation views and other SAP HANA assets.

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

📘 Learn More

• What does Atlan crawl from SAP HANA?

🎉 What’s new

You can now govern changes to associated terms using workflows!
Whether you're associating glossary terms, these actions can now be routed through approval workflows, bringing greater control, transparency, and accountability to your glossary management process.

✨ Let’s dig deeper

Glossary terms often play a critical role in defining business meaning across assets. With this update, actions involving associated terms—like adding a new associated term or removing an associated term—are now supported in governance workflows.

Here’s how it works:

🔁 Covered actions

You can now trigger approval workflows when users:

• ✅ Associate a glossary term to an asset
• ✅ Remove a glossary term from an asset

⚙️ Configurable in conditional governance workflows

In the workflow builder, you’ll find a new condition under Glossary-specific changes:
Link/unlink associated terms
Use this to build conditional paths and route requests to:

• Manual approvers
• Auto-approval if rules match

📨 Suggest and approve

When users attempt to make changes to associated terms, they’ll be prompted to submit their suggestion for approval, complete with an optional note. Approvers will be notified and can act on the request right from their inbox.

Why it matters: This helps ensure glossary integrity and consistent term usage across your organization—especially in federated data teams.

👏 Give it a shot

Head to your glossary governance workflows and enable approval for associated term changes. It’s another step toward comprehensive, governed collaboration in Atlan.

Let us know how it fits into your stewardship workflows!

🎉 What’s new

Admins can now manage draft data products!
With this enhancement, admins are no longer blocked from editing or publishing drafts they didn’t create—making it easier to collaborate, review, and move data products forward without relying solely on the creator.

✨ Let’s dig deeper

Previously, only the creator (owner) of a draft product had the ability to make changes or publish it. Now, workspace admins can step in at any time to:

• View draft data products
• Edit metadata, assets, or descriptions
• Publish the product when it’s ready for wider access

This unlocks new workflows such as:

• Admins finalizing drafts on behalf of other users
• Ensuring critical products aren’t stuck due to availability issues
• Easier governance and oversight during product development

You’ll see a “Publish product” button on any draft if you’re an admin—ready to go when the product is.

Note: Draft visibility is still restricted—only owners and admins can see draft products until they’re published.

👏 Give it a shot

If you're an admin, head to any draft data product in your workspace and try editing or publishing it.
This improvement makes it easier to keep data product workflows smooth and collaborative—especially in fast-moving teams.

Let us know how it helps!

We’re thrilled to announce that Atlan’s SAP ECC and SAP S/4HANA connectors are now live in Public Preview!

This marks a major milestone in our mission to bring deep metadata discovery, lineage, and governance to the SAP ecosystem — helping enterprises unlock visibility into their most complex, business-critical systems.

Why This Matters

End-to-End SAP Metadata Discovery and Governance
Atlan now natively connects to SAP ECC and SAP S/4HANA to extract comprehensive metadata directly from the application layer — including Components, TCODES, Function Modules, ABAP Programs, application components, tables, views, fields, check tables, CDS views and the relationships between them. This allows teams to understand the “what” behind their SAP Components like FI, LO, MM, SD and CO and how the data flows and is consumed within the modern data stack.

New Features from PrPr Release

Column-Level Check Table Relationships
The connector now automatically discovers column-level check table relationships, enabling precise data lineage and semantic context. 

Application Component Hierarchy
We’ve added Application Component Hierarchy relationships — allowing automatic discovery of related SAP tables, fields, and data objects by business domain or component (FI, MM, SD, LO, PP, PM, etc.).
These hierarchies can now be leveraged to build rich business semantic Data Products in Atlan that align directly with SAP’s organizational structure, driving cleaner discovery and business alignment.  If interested in more automation around this please contact your Atlan account representative.  

This helps users discover and connect transactional and master data across key SAP for use as data products such as:

• Business Partners
• Customer & Vendor Master
• Material Master
• Sales & Purchase Orders
• Work Centers
• G/L Accounts
• Profit Centers
• Maintenance Plans
  …and more.

Smarter Metadata Scoping

New flexibility lets users filter the SAP metadata extraction scope by:

• Application Component(s) – focus on only the modules relevant to your use case (e.g., FI, SD, MM).
• Atlan Asset Types – choose which metadata objects (tables, function modules, Programs, TCODEs, views) to include or exclude based on business requirements.

This enables faster, more targeted metadata ingestion and reduces noise across massive SAP landscapes.

 What’s Next

This Public Preview is just the start of Atlan’s journey in the SAP ecosystem.
Coming soon on our roadmap:

• SAP Business Data Cloud
• SAP BW on HANA
• SAP BW/4HANA
• SAP Datasphere
• SAP Analytics Cloud
• SAP Business Objects

Together, these will provide an end-to-end metadata lineage bridge across SAP’s legacy and modern data SAP Business Data Cloud ecosystems — from SAP to cloud analytics and beyond.

Interested in early access or upcoming connectors?
Reach out to your Atlan Account Representative to learn more or join the next preview cohort.

📘 Learn More

• SAP ECC
• SAP S/4HANA

🎉 What’s new

Now introducing Rich Text properties in custom metadata!
You can now create and apply rich, formatted content directly within your metadata properties—bringing deeper context and clarity to your data assets, beyond what the README can capture.

✨ Let’s dig deeper

With this update, you can define a new type of custom metadata property: Rich Text. This allows users to attach detailed documentation, descriptions, and policies in a structured, readable format.

Here’s how it works:

🧱 Create a Rich Text Property

• Head to Custom Metadata configuration
• Add a new property and set its Type to Rich Text
• Give it a name like “Data Policy” or “Governance Notes”

📝 Enrich Assets with Context

• Once set up, this property becomes available across all relevant assets
• Users can now add and view formatted content directly from the asset sidebar
• This includes bullets, bold text, headers, and more

📄 Use Cases

• Define data usage policies or stewardship guidelines
• Document data quality considerations per asset
• Add project-specific context without cluttering the README

Note: These properties are filterable (with empty, non-empty operators) and governed just like other metadata properties.

👏 Give it a shot

Start setting up your own rich text metadata properties today to bring more meaning and documentation directly into your data assets.
Less hunting for docs, more context—right where you need it.

🎉 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