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

This release brings a powerful set of upgrades to Atlan's Tableau integration, helping you unlock deeper insights, richer lineage, and greater control over metadata workflows:

✨ Let’s Dig Deeper

• Embedded Dashboard Discovery: Discover embedded Tableau dashboards as first-class assets. Understand how they’re connected to upstream data and where they’re being used.
• End-to-End Column Lineage: Column-level lineage now spans from your Tableau DataSources through Worksheets and into Dashboards, offering a complete picture for impact analysis, troubleshooting, and trust.
• Smarter Custom SQL Lineage: We now detect tables even within nested subqueries, providing a deeper understanding of your Tableau logic and ensuring your lineage graphs are accurate and complete.
• Hierarchical Filters for Playbooks: New hierarchical filtering in playbooks means less manual work:
  • Select a full folder to auto-include all assets inside it
  • Or zoom in on specific sub-folders when needed
  • Great for keeping automation organized and scalable
    
• Secure Agent Support: Need to connect to a Tableau server behind a firewall or in an on-prem environment? Atlan Secure Agent makes it possible, ensuring secure, seamless metadata extraction without exposing internal systems.
• Seamless Metadata Access in Tableau: Stay in flow: now you can access column descriptions, owners, and data classifications directly within Tableau, embedded into your dashboards and sources. Just click, no tab switching required.

👏 Give It a Shot

Learn more and let us know what you think!

• Tableau Lineage
• Custom SQL
• Troubleshooting Tableau connectivity

🎉 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

🎉 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

🎉 What’s new

We’re excited to unveil significant enhancements to the Databricks connector, elevating the crawler and miner capabilities to drive greater flexibility, governance, and trust across your Databricks landscape.

✨ Let’s dig deeper

• Primary and Foreign Key (PK & FK) Support: We now capture and display PK/FK information from Databricks, helping users identify the unique keys of assets.
• Materialized View Support: We now ingest and catalog Materialized Views created via native Databricks SQL. Users can visualize MV lineage and gain clear insights into their dependencies and upstream sources.
• 
  Enriched DBX Lineage Process: Users can now view enriched Databricks lineage with detailed entity types (e.g., Pipelines, Notebooks) and unique entity IDs, providing clarity and traceability in their data flows.
• Enabling Cloned Catalog Support for Databricks Miners: We now allows configuring alternative catalog for Databricks Miners when access to the default System tables is restricted. This provides controlled access to lineage metadata, ensuring that users only see information relevant to their business entity.
• Improved Preflight Checks: Enhanced preflight validations provide a smoother Databricks onboarding experience in Atlan.
  

👏 Give it a shot

Learn more and let us know what you think!

• How to set up Databricks 
• What does Atlan crawl from Databricks?
• Create cloned views of system tables
• Troubleshooting Databricks connectivity 

🎉 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!

🎉 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

🎉 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

  
  

🎉 What's new

With this update, we’ve introduced several improvements to the workflow experience:

• Users can now add a custom name to workflows.
• We now display the user who has stopped a workflow for better traceability.
• The Run Workflow button will be disabled if a workflow is already running, preventing overlapping executions.

These changes enhance your workflow management and improve overall usability.

✨ Let's dig deeper

• Improved Workflow Management: Allowing users to add custom names to workflows provides better organization and easier identification of workflows, especially in complex processes.
• Enhanced Traceability: Displaying the user who stopped a workflow increases accountability and helps track the source of any interruptions, making it easier to troubleshoot and manage workflows.
• Prevention of Overlapping Executions: Disabling the Run Workflow button when a workflow is already running prevents accidental overlapping executions, ensuring smoother operations and preventing potential errors.

Together, these enhancements streamline workflow management, improve collaboration, and reduce the risk of operational issues.

👏 Give it a shot

Check out these enhancements and let us know what you think!