Open Metadata Lakehouse: Unified context engine for the future of AI & Analytics
Future-Proof for the needs of Humans, Agents, and Beyond
Leverage open storage and your choice of compute to tackle everything from active AI models to ever-growing data catalogs.
Unify Every Type of Metadata in One Repository
Metadata today spans far beyond lineage logs or table definitions. Whether it’s social metadata (usage, popularity, ratings), operational details (Airflow, OpenLineage, dbt runs), or business and compliance tags, it all lives in a single high-performance repository.
With built-in versioning and historical context, you can train AI models and execute large-scale governance or enrichment tasks across your entire organization’s metadata. Join unstructured data to your internal datasets for true metadata centralization—no fragmentation, no blind spots.
“Atlan gave us end-to-end visibility and lineage from the cloud all the way back to our on-prem.”
Brian Ames
Sr. Manager Production AI & Data Products
Massive Scale and High Performance—Using Your Preferred Engines
Easily handle billions of assets while maintaining lightning-fast updates and queries.
Future-Proof Your Data Stack with a Flexible Knowledge Graph and APIs
Be ready for every edge case, from connecting to complex, in-house systems to governing AI models, with Atlan’s flexible, open architecture.
“Atlan is built on Open API architecture, which gives us extensibility across the data stack. That was a game changer.”
Mihir Modi
Data Governance Manager.
Ready for anything. From Cloud-native AI to on-premise systems.
“Atlan’s innovative approach is evidenced by significant customer acquisitions, underscoring its ability to deliver a comprehensive, user-centric platform.”
— The Forrester Wave™ :
Enterprise Data Catalogs, Q3 2024
Learn more about Atlan’s Metadata Lakehouse
