Launching today

SereneDB

Launching today

Ultra-Fast Search & Analytics Database, Agentic AI ready

5.0•1 review•

39 followers

Ultra-Fast Search & Analytics Database, Agentic AI ready

5.0•1 review•

39 followers

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SereneDB is the result of 12 years of development - an open-source database that does ultra-fast full-text and fast analytics in one engine. Postgres- and Elastic-compatible: keep your SQL, your drivers, and your Elastic clients; drop the second system and the ETL between them. In our public benchmark, it outperforms Elasticsearch, ClickHouse, and Postgres search extensions, and indexes 1B logs in under 8 minutes at ~10x less disk. Apache 2.0, methodology, and raw results are public.

SereneDB Reviews

The community submitted 1 review to tell us what they like about SereneDB, what SereneDB can do better, and more.

5.0

Based on 1 review

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InterSub

•2 reviews

What's great

It is very easy to use. You paste one line into Claude Code or any coding assistant, it reads the docs through the MCP server and sets everything up by itself. The only requirement is Docker, and the assistant can install that too, with your approval. After that, you're ready to build something real on enterprise-grade datasets. It's also cheap to run: it keeps only a compact hot set on local disk, and the rest can sit on inexpensive object storage like S3, so you don't need a pricey machine. It's the main reason I hunted this project, actually.

What needs improvement

I'd love a full MCP server with query tools for Claude, so the assistant can run searches and analytics directly, not just read the docs.

vs Alternatives

ClickHouse

PostgreSQL

I'm a casual user, not someone who can design a data architecture (I did something like that many years ago in my college years last time, before vector DBs became a thing). I realized that to get fast search, analytics, and vectors together on a large dataset with the alternatives, you end up combining several systems: like Postgres with extensions, Elasticsearch, ClickHouse, and they all require tuning. SereneDB gives me all of it in one Postgres-compatible box, and it was simply easy enough for me to use.

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