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AssetsNew
4 days ago

Dbt Seeds are now supported by Atlan

🎉 What’s new

As a data engineer or analytics developer, you’ll want this update because it helps you track and understand how dbt seed files flow into your data pipeline — with automatic context and lineage. Previously, dbt seeds were invisible in Atlan even though they acted like models — creating tables and feeding downstream logic — they didn’t show up in lineage, metadata, or descriptions. That left key logic disconnected from the rest of your dbt project. Now, Atlan treats seeds as first-class citizens in your dbt integration. With this enhancement, seed files are no longer hidden helpers — they’re fully visible, documented, and connected across your data stack.

✨ Let’s dig deeper

This update makes seeds behave just like models and sources inside Atlan — so the people who rely on your data get the full story.  Atlan treats seeds as first-class citizens in your dbt integration. That means:

  • Seed files are catalogued & searchable.
  • Seed files enrich your materialized assets metadata.
  • Seed files are now visible in synthetic lineage as well as what they materialized in technical lineage.

👏 Give it a shot

Ready to try out dbt seeds experience in Atlan? Get started today

  • What does Atlan crawl from Dbt Core
  • What does Atlan crawl from Dbt Cloud
  • Troubleshooting dbt connectivity
As you explore this new addition, please feel free to share your feedback!
AssetsImprovementNew
a week ago

Partial assets are now discoverable

🎉 What’s new

We’ve made several enhancements to partial assets experience in Atlan, previously partial assets only appeared in lineage graph as nodes, but now they are treated as an almost fully catalogued (you can discover & view but you can't enrich)

✨ Let’s dig deeper

This update makes it easier for you to

  • Search for partial assets, now you can search for & filter partial assets
  • See the source/connection that caused the creation of a partial asset & other metadata.
  • Open the profile of a partial asset & browse its lineage.

👏 Give it a shot

  • What are partial assets?

As you explore this new experience, please feel free to share your feedback!

WorkflowsNew
a month ago

Snowflake External OAuth – Microsoft Entra ID Support


🎉 What’s new
Atlan now supports connecting to Snowflake using OAuth via Microsoft Entra ID—no more managing static credentials.

✨ What’s in Store

  • Seamless, token-based authentication with Microsoft Entra ID.
  • Supports Client Credentials Flow for secure, non-interactive authentication—ideal for automated metadata extraction
  • Perfect for Azure-first organizations looking to streamline Snowflake access securely!

👏 Give it a shot
Set up Snowflake OAuth with Microsoft Entra ID today—and let us know what you think!

📘 Learn More:

  • Configure OAuth (Client Credentials Flow) with Microsoft Entra ID

AssetsNew
3 months ago

Snowflake Stages: Now Discoverable & Lineage Enabled

🎉 What’s new
Atlan now supports discovery and lineage tracking for Snowflake Stages, enabling deeper visibility into your ingestion pipelines and boosting data governance.

✨ Let’s dig deeper
You can now manage Snowflake Stages like never before:

⚡ Smarter visibility – Catalog and govern External and Internal Named Stages as first-class assets.
🧩 Deeper lineage – Understand how data flows from stages into Tables & Pipes.
🎯 Simplified discovery – Use the “Stage Type” filter to easily navigate External vs. Internal Named Stages.

👏 Give it a shot
Start using Snowflake Stages in Atlan today and help us improve with your feedback!

📘 Learn More:

  • How to setup Snowflake
  • What does atlan crawl from snowflake?
GovernanceNew
3 months ago

Access Management for Database & Schema

🎉 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


GovernanceNew
4 months ago

Flexible Asset Scope in Policy Rules

🎉 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.

ImprovementNew
4 months ago

Apache Airflow DAGs are now enriched with more metadata

🎉 What’s new

Atlan automatically retrieves and enriches Airflow DAGs with descriptions, source owners, and tags—if included in the OpenLineage event. This ensures your metadata stays up to date with source DAGs, helping you better govern, utilize, and understand your data estate.

Learn more:

  • What Atlan Crawls from Apache Airflow
  • Troubleshooting Airflow Connectivity
WorkflowsNew
5 months ago

Securely extract metadata from within your org

🎉 What’s new

The Atlan Secure Agent is a lightweight application that is deployed within an enterprise and facilitates metadata extraction. The Secure Agent acts as a gateway and connects to source systems and extracts metadata. This architecture avoids inbound connectivity to these systems as well as ensures secrets are managed internally. 

✨ Let’s dig deeper

The Secure Agent is designed for secure, scalable, and efficient metadata extraction.

Currently supported connectors

  • Oracle, MS SQL Server, PostgreSQL, Salesforce
  • More connectors getting supported soon!

Security-first architecture

  • Runs entirely within the organization's infrastructure, preventing secrets from leaving its boundary.
  • Uses outbound, encrypted communication to interact with Atlan SaaS.
  • Supports logging and monitoring and integrates with external monitoring systems for auditing and compliance.

Scalable metadata extraction

  • A single deployment of the Agent can connect to multiple source systems.
  • Supports multiple concurrent metadata extraction jobs.

Flexible deployment

  • Deploys on cloud-based Kubernetes environments (such as Amazon EKS, Azure AKS, and Google GKE) as well as on-premises clusters.
  • Scales dynamically based on workload demands.

Automated operations

  • Continuously monitors system health and sends heartbeats to Atlan.
  • Captures and uploads execution logs for troubleshooting and auditing.

👏 Give it a shot

Switch on the Labs toggle to enable Agent functionality on the tenant.


Go through the Agent installation and configuration docs and setup a workflow in Agent execution mode

Feel free to reach out to your Atlan representative to know more!

AssetsNew
5 months ago

Import Data Modeling assets into Atlan

🎉 What’s new

Atlan now enables cataloging of Entity–Relationship (ER) models, helping teams bridge the gap between business and technical users. With ER model metadata in Atlan, organizations can enhance collaboration, streamline change management, and reinforce data governance.

✨ Let’s dig deeper

Ingest ER models with ease
You can now bring your ER models into Atlan using an Excel template:

  • Data model ingestion – Use Atlan’s custom package to ingest ER models via an Excel template.

Unlock new capabilities with ER models

  • Foster collaboration – Business and technical users can now share a unified view of data relationships across systems, breaking down silos.
  • Simplify impact analysis – Visualizing entity relationships helps assess the downstream impact of technical changes with confidence.
  • Strengthen governance – Define access controls, retention policies, and governance rules based on entity relationships, ensuring trust and accountability.

Visualize and map your data

  • Entity Diagrams – Navigate entities, attributes, and relationships visually to simplify understanding and communication.
  • Conceptual, Logical, and Physical Models – Map ER models across different abstraction levels to align business concepts with technical implementation.
  • Link ER Entities to crawled assets – Link entities to actual data assets in Atlan (e.g., an ‘Order’ table in Snowflake).


👏 Give it a shot

Reach out to your CSM to enable the ER model ingestion package. Upload ER assets via Excel and let us know what you think! Refer to these docs for more information.

WorkflowsNew
5 months ago

Discover QVD files from Qlik

🎉 What’s new

We are excited to announce the addition of QVD file support in Qlik! With this new feature, users can now:

  • Crawl QVD datasets: Directly crawl and explore datasets created by QVD files within Atlan.
  • Discover Data: Perform data discovery around these datasets to gain insights and enhance data-driven workflows.
  • Lineage Support: We’ve also added lineage support for datasets generated by QVD files, ensuring a complete understanding of how data flows and evolves across your systems.

✨ Let’s dig deeper

  • QVD File Datasets as Regular Assets:Datasets obtained from QVD files will now be treated as regular dataset assets, making them easier to manage and track within the system.

  • New Dataset Attribute for Implicit Status: A new attribute will be added to indicate whether a dataset is implicit or not. This will help clarify the nature of datasets and their role in the overall usage.
  • Chart Asset Type Filtering:We will now filter out all non-relevant entities from the chart view, displaying only the chart asset type for a cleaner, more focused visualization.

👏 Give it a shot

Learn more and let us know what you think!

  • What does Atlan crawl from Qlik Sense Cloud
  • Troubleshooting Qlik Sense Cloud connectivity