SereneDB is a search and analytics database offering hybrid BM25 and vector search, real-time columnar analytics, and in-place querying over remote data sources using SQL.
What the product does and how it is positioned
SereneDB is a database built for search and analytical workloads, combining full-text, vector, and relational capabilities into a single system. It supports hybrid search by uniting BM25 rankings with approximate nearest neighbor vector indexing beside standard relational tables.
The database is designed to query data in place, allowing users to index object storage and conduct zero-ETL analytics directly over remote stores. It maintains compatibility with PostgreSQL drivers and standard SQL syntax while supporting columnar scans over high-volume datasets.
Source-supported ways to use the product
Serving as an agent-ready retrieval layer that delivers grounded data answers by executing SQL queries over diverse data sources.
Executing analytical aggregations and search queries over large-scale telemetry log datasets without waiting for batch ETL processes.
Indexing and searching remote object storage directly to eliminate the need for intermediate data pipelines.
SereneDB integrates retrieval-oriented search mechanisms with real-time analytical processing in one platform. Rather than requiring distinct systems for text indexing, vector operations, and analytical aggregations, it executes all three patterns through a unified database interface.
The engine supports zero-ETL workflows by querying data directly where it resides, including remote object stores. It facilitates hybrid retrieval through concurrent BM25 and vector ranking, while maintaining standard SQL and PostgreSQL driver compatibility.
Checks to run with your own material and workflow
What was checked and when
Answers based on the source-checked product record
SereneDB supports BM25 full-text search, approximate nearest neighbor vector search, and hybrid search combining both methods.
Yes, SereneDB allows teams to retain existing PostgreSQL drivers and standard SQL queries.
No, SereneDB offers zero-ETL functionality by indexing and querying remote object storage directly where it resides.
SereneDB functions as an OLAP database that runs columnar scans over billions of rows and aggregates fresh data without nightly batch runs.
The official documentation lists support for Linux environments as well as containerized deployment via Docker.
