#6 · Primary category: Vector Databases

doris

agent ai bigquery database delta-lake hudi iceberg lakehouse observability olap paimon query-engine real-time redshift search snowflake sql vector

Apache Doris is a real-time analytics and hybrid search database for AI agents.

Project last updated:08/29/26

GitHub Stars

15.8K

Forks

3.9K

Contributors

829

License

Apache-2.0

Why we included this project

Most RAG and agent projects end up running two databases: a vector store for embeddings and an analytics engine for structured data. Doris collapses that into one SQL engine that does vector, full-text, and JSON search alongside real-time analytics, so a single query can pull semantically similar rows and aggregate business metrics at the same time. The search features sit on top of a mature shared-nothing OLAP core that has been serving sub-second dashboards and warehouse workloads for years, which means they are not a toy feature bolted onto an unproven base. If you already use Doris for reporting, you can adopt the vector capabilities without standing up a second stack.

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