SereneDB unifies Elasticsearch-like search and ClickHouse-like analytics in a single, Postgres-compatible database.

Search is a first-class citizen of the query engine. All search functionality is powered by IResearch, an open-source C++ information retrieval library that core members of the SereneDB team have been developing since 2016.

Links

• Official website for a quick high-level overview of SereneDB.
• Blog for technical articles, project announcements and event updates.
• Slack and Telegram for real-time discussion and support.
• Reddit for community discussions and Q&A.
• LinkedIn for official company news and professional updates.
• X for quick updates, announcements and community news.

Why Choose SereneDB?

SereneDB is designed to be powerful, convenient and dev-friendly.

• Zero-ETL Remote Search: Query your data (Parquet, Iceberg, CSV, JSON) directly on remote storage (S3/HDFS) with full BM25 ranking and vector search, eliminating the need for expensive ingestion pipelines.
• Unified Search & Analytics: The search experience of Elasticsearch and the analytical power of ClickHouse in a single, high-performance solution.
• Faster Than Elasticsearch: Powered by IResearch, which outperforms Lucene (the engine behind Elasticsearch) across every query type in the Search Benchmark, the Game.
• Efficient Real-Time Updates: Column-wise updates that keep your data fresh without performance hits.
• Vector & Hybrid Search: Built-in vector search and hybrid ranking for AI-powered applications.
• Postgres-Compatible: Leverage your existing Postgres ecosystem, tools and knowledge. If you know SQL, you know SereneDB.
• UI Client: An intuitive Postgres-compatible UI for managing and querying your data.

Our Philosophy

• Truly Open Source: The complete, single-node version is and always will be licensed under Apache 2.0.
• Built for Scale: Horizontal scalability, high availability and advanced security for production deployments.
• Transparent Performance: All benchmarks are open and reproducible. Methodology, hardware and raw results are published alongside numbers.
• Giving Back: We build on, contribute back to and openly collaborate with the open-source community, including projects like Velox, PostgreSQL and RocksDB.
• Open Interaction: Your feedback matters. We are committed to open communication and collaboration with our community.

Get Involved

• ⭐ Star this repo to show your interest and help us grow.
• Watch releases to stay updated on our progress.
• Contributing -- build instructions, code style, and how to get started.
• Join the conversation on Slack, Telegram or Reddit.