#23 · Primary category: Vector Databases

matrixone

agents ai-native cloud-native database distributed-database distributed-systems fulltext-support git-for-data go htap hyperconverged memory mysql-compatible olap one-size-fits-all sql vector-database

AI-native HTAP database with Git-for-Data and built-in vector search, serving as the data and memory backbone for intelligent agents and applications.

Project last updated:08/29/26

GitHub Stars

1.9K

Forks

309

Contributors

141

License

Apache-2.0

Why we included this project

Teams that need vector similarity search alongside their existing relational data can often skip the usual second database. MatrixOne is a MySQL-compatible HTAP engine that handles transactional and analytical queries alongside full-text and vector search in one system, so a RAG application can query embeddings and plain SQL in the same place instead of moving data between products. If your team already knows MySQL, the wire protocol, ORMs, and most tooling carry over unchanged, and the built-in IVF and HNSW indexes add semantic search without another service to operate. The Python SDK exposes typed vector columns and distance operators, which keeps the retrieval side easy to wire into a pipeline. Git-style version control for data, with snapshots, branching, and time travel, is a handy extra when you are iterating on schema migrations or testing transformations against a copy of production data.

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