GH Repository · apache
doris
Apache Doris is a real-time analytics and hybrid search database for AI agents.
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agent-appsearchobservabilitypaimonJavaaireal-timedatabasehudisnowflakeicebergolapdelta-lakesqlquery-enginebigqueryvectorlakehouseredshiftagent
Apache Doris is a real-time analytics and hybrid search database positioned for AI agent workloads. It is a Java-based Apache project covering OLAP, lakehouse formats (Hudi, Iceberg, Delta Lake, Paimon), SQL querying, and vector/search capabilities, and ships an AGENTS.md and .claude directory for agent tooling.
You reach for it when an agent application needs real-time analytical and hybrid search queries against lakehouse or warehouse-style data in one database.
Use it to
- Run real-time OLAP analytics via SQL
- Query lakehouse tables in Hudi, Iceberg, Delta Lake, or Paimon
- Serve hybrid search including vector search for agent retrieval
- Compare against BigQuery, Redshift, or Snowflake workloads
- Add observability analytics behind agent applications
For Teams building agent apps on analytical and lakehouse data
- Role
- agent-app
- Language
- Java
- Licence
- Apache-2.0
- Forks
- 3,947
- Open issues
- 344
- Last push
- 2026-09-17
- Latest release
- v0.8.0-beta · 2018-03-23
- Skills shipped
- 5
topicsolapreal-time-analyticslakehousevector-searchsqlagents