Enterprise Data Graph

by Atlan · Data and analytics · Singapore, Singapore

Connects business systems and aggregates context across data estate into one living graph.

What Enterprise Data Graph does

• 80+ connectors across data sources
• Aggregates context from warehouse SQL, BI definitions, business applications
• Data lineage tracking
• Asset catalog
• Governance capabilities
• Quality monitoring
• Glossary management

What Enterprise Data Graph is used for

• Unifying data across on-prem and cloud systems
• Data discovery
• Understanding data meaning and business definitions

Who Enterprise Data Graph is for

• Finance
• Manufacturing
• Media
• Healthcare
• Retail

About Atlan

Enterprise data graph and context layer for AI agents and analytics.

Atlan in the vendor registry: its products, features and similar vendors.

Also by Atlan

• Context Agents: AI teammates that document tacit knowledge and make data AI-ready through context.
• Context Engineering Studio: Platform to bootstrap, test, and ship business understanding and ontologies for AI.
• Context Lakehouse: The first context store engineered natively for AI with Iceberg-native architecture and vector search.
• Data Marketplace: Marketplace for discovering and sharing data with business context.
• Atlan Data Catalog: Unified catalog of data assets, lineage and ownership
• Atlan AI: AI assistant for creating contextual descriptions of data

More in this category: Data and analytics platforms for financial services.

Weighing up Enterprise Data Graph? Create a free procurement account to run the question as a procurement: Atlan and the alternatives answer your requirements side by side, on the same terms.

Browse the product registry

Built by Vederca from public sources, last updated 2026-10-18.