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SereneDB

Ultra-Fast Search & Analytics Database, Agentic AI ready

SereneDB

SereneDB 介绍

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.

核心功能

  • 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

典型使用场景

  • 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

为什么适合初创团队

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.

可替代选择

Elasticsearch, ClickHouse, PostgreSQL

常见问题

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.

更多关于 SereneDB

定价
Paid
收录时间
Sep 26, 2026
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