Is SereneDB open source?

Yes, SereneDB is released under the Apache 2.0 license.

Do I need to change my existing tools to use SereneDB?

SereneDB is PostgreSQL- and Elasticsearch-compatible, so you can keep your SQL drivers and Elastic clients.

How does SereneDB compare to Elasticsearch or ClickHouse?

The team publishes a public benchmark, with methodology and raw results available, reporting better performance than Elasticsearch, ClickHouse, and Postgres search extensions.

SereneDB

Ultra-Fast Search & Analytics Database, Agentic AI ready

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Registro de diretório da HiCyou

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Site listado: serenedb.com
Registro de diretório criado: 26 de set. de 2026
Última atualização do registro: 26 de set. de 2026

Informações incluídas na listagem

Visão geral
6 recursos principais
4 casos de uso

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O que é SereneDB

SereneDB is an open-source search and analytics database that combines ultra-fast full-text search with fast analytics in a single engine. It is PostgreSQL- and Elasticsearch-compatible, allowing teams to keep their existing SQL drivers and Elastic clients while consolidating separate systems and eliminating the ETL between them. Released under the Apache 2.0 license, the project publishes its benchmark methodology and raw results, reporting 1B log indexing in under 8 minutes at roughly 10x less disk usage.

Recursos principais

Ultra-fast full-text search in an open-source engine

Analytics capabilities unified with search in one database

PostgreSQL compatibility for existing SQL workflows and drivers

Elasticsearch compatibility for existing Elastic clients

Columnar engine with vectorized SQL execution and hybrid storage

Apache 2.0 open-source license

Casos de uso

Real-time log indexing and search
Analytics on large datasets without a separate search system
Migrating off Elasticsearch while keeping existing clients
Replacing multi-database setups and the ETL between them

Por que startups precisam desta ferramenta?

Startups can consolidate search and analytics into one open-source database instead of operating and paying for separate systems plus the ETL pipelines between them. Postgres and Elasticsearch compatibility lowers migration cost, and the Apache 2.0 license removes licensing barriers.