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AssetsNew
3 weeks 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
a month 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
a month 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
2 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
2 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
3 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
3 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
WorkflowsNew
3 months ago

SCRAM Authentication Support in Apache Kafka

🎉 What’s new

We are excited to announce the addition of SCRAM authentication support for the Apache Kafka connector. This feature allows for a more secure form of password-based authentication.

  • SCRAM Authentication: Kafka now supports SCRAM-SHA-256 and SCRAM-SHA-512 for authenticating clients and brokers.
  • Improved Security: SCRAM provides stronger password hashing and eliminates the need for plaintext passwords, ensuring better protection against brute-force attacks.

✨ Let’s dig deeper

This release makes it easier to ensure a higher level of security in your Kafka environment, reducing the risk of unauthorized access and improving overall system integrity.

  • Enhanced authentication security for Kafka clusters.
  • Better integration with existing enterprise security practices.
  • Allows fine-grained access control through password management.

👏 Give it a shot

Use a more secure way to integrate Apache Kafka with Atlan!

Learn more:

  • How to set up Apache Kafka
  • How to crawl Apache Kafka


New
3 months ago

Webhook Support in Governance Workflows

🎉 What’s new

Enhance your Access Management workflows with webhook support, enabling seamless automation of access provisioning and revocation. Now, once an access request is approved in Atlan, or a revocation request is raised, a webhook event can be triggered to launch external processes, ensuring efficient and automated access management.

  • Trigger an event post-approval, for granting access, or upon a revocation request, for removing access
  • Admins can now define actions for revoking access within the Access Management Workflow

✨ Let’s dig deeper

Organizations need a way to automate provisioning and revocation processes once access decisions are made in Atlan. Previously, approvals in Atlan had to be followed by manual actions in external systems to grant or revoke access. 

Webhook Support for Automated Provisioning & Revocation 

  • After an access request is approved in Atlan, a webhook can be triggered to initiate provisioning in external systems.
  • When a revocation request is raised in Atlan, a webhook can trigger external actions to revoke access from the source system without requiring further approvals.

Access Management Workflow Enhancements 

  • The "Data Access Approval Workflow" template will now be renamed Access Management to better reflect its expanded capabilities.
  • Admins can now define actions for revoking access within the Access Management Workflow. Once a revocation request is raised in Atlan, an action (Webhook, Jira, or ServiceNow) can be triggered to ensure access is revoked from the source system.

Important Note: The Access Management Workflow only supports revocation actions for access granted in the source system. Permissions granted through Governance Workflows in Atlan will continue to follow their default revocation process.

👏 Give it a shot

Learn more and let us know what you think!

New
4 months ago

Restore an archived data product

🎉 What's new

Introducing the ability to restore archived data products! With this new feature, you can resurrect your archived data products at the click of a button.

✨ Let’s dig deeper

This release provides you a self-serve way to restore archived products, helping you experiment and work with products more fearlessly.

  • When you visit an archived data product, you see a Restore product button on the product overview.
  • Clicking this brings up a confirmation popup.
  • Once you proceed, Atlan will restore the product. This means the product will start appearing in search within the products module and assets page. Additionally, a restored product will appear within a domain profile and in product lineage as well.

👏 Give it a shot

Learn more and let us know what you think!

  • What are data products?
  • How to create data products