SereneDB
1 commentThe first launch from SereneDB
SereneDB is an open-source database for real-time search and analytics, combining full-text, vector, and hybrid search in a single query layer. It exposes a PostgreSQL-compatible frontend and SQL query interface. SearchBench publishes live performance numbers against competing engines. The project is MIT licensed and developed by Alexander Malandin; the site and GitHub show active roadmaps for distributed deployment, replication, and additional connectors.
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Most search databases make you choose between full-text and vector, or hide the benchmark behind a gated demo. SereneDB publishes SearchBench openly and combines all three search modes in SQL.
I have not run a live production load against it yet. The public benchmark and the PostgreSQL compatibility are what I would verify first.