Context Lakehouse
by Atlan · Data and analytics · Singapore, Singapore
The first context store engineered natively for AI with Iceberg-native architecture and vector search.
What Context Lakehouse does
- Iceberg-native storage
- Open formats
- Graph and file architecture
- Vector-native AI search
- Agent speed optimization
- Scalable context consumption
What Context Lakehouse is used for
- Storing and serving context to AI agents
- Enabling AI-scale context infrastructure
- Supporting agent-produced and consumed context
Who Context Lakehouse 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
- Enterprise Data Graph: Connects business systems and aggregates context across data estate into one living graph.
- 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.
- 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 Context Lakehouse? 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.
Built by Vederca from public sources, last updated 2026-10-18.