SereneDB fuses a high-performance search engine with modern OLAP execution under the familiar PostgreSQL interface, allowing real-time ingestion, correct updates and deletes, and millisecond-level responses to complex queries. Written in C++, the system aims to replace the traditional patchwork of Postgres plus ElasticSearch or ClickHouse by tightly integrating search and database functions in a single engine. Early benchmarks cited by the team show use cases where SereneDB is up to 10× faster than ElasticSearch while adding a full analytical layer. The company is committed to an open-source model and has begun publishing code on GitHub to cultivate a developer community. Target users include fast-growing startups that outgrow transactional Postgres and search-heavy enterprises seeking consistency and speed. Backed by a $2.1 million pre-seed round, the founders plan to expand the engineering team and accelerate product development to deliver demos and broader feature releases.

Total raised

$2M

Funding rounds

1

Latest round

Seed

Latest activity

Dec 2025