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QuestDB is an open-source time-series database offering blazingly fast ingestion and dynamic, low-latency SQL queries.
QuestDB delivers a multi-tier storage engine (WAL → native → Parquet on object storage), and the core engine is implemented in zero-GC Java and C++; QuestDB Enterprise includes additional components in Rust.
We achieve high performance via a column-oriented storage model, parallelized vector execution, SIMD instructions, and low-latency techniques. In addition, QuestDB is hardware efficient, with quick setup and operational efficiency.
Ready to go? Jump to the Get started section.
QuestDB Web Console - click to launch demo
Feature highlights include:
QuestDB excels with:
And why use a time-series database?
Beyond performance and efficiency, with a specialized time-series database, you don't need to worry about:
The live, public demo is provisioned with the latest QuestDB release and sample datasets:
We also have some public, real-time demo dashboards using our Grafana-native plugin:
QuestDB performs very well in performance benchmarks compared to alternatives.
For deep dives into internals and performance, see the following blog posts:
As always, we encourage you to run your own benchmarks.

QuestDB works out of the box with AI coding agents. Install the QuestDB agent skill and go from prompt to production in under 60 seconds: streaming ingestion, materialized views, and real-time analytics with zero manual code.
Use Docker to start quickly:
docker run -p 9000:9000 -p 9009:9009 -p 8812:8812 questdb/questdb
Or macOS users can use Homebrew:
brew install questdb
brew services start questdb
questdb start
questdb stop
Alternatively, to kickoff the full onboarding journey, start with our concise quick start guide.
QuestDB clients for ingesting data via the InfluxDB Line Protocol:
Interact with QuestDB and your data via the following interfaces:
9000900088129000Popular tools that integrate with QuestDB include:
From streaming ingestion to visualization with Grafana, start with code scaffolds from our quickstart repository.
Find our capacity planning to fine-tune QuestDB for production workloads.
For secure operation at greater scale or within larger organizations.
Additional features include:
Visit the Enterprise page for further details and contact information.
Contributions welcome!
We appreciate:
To get started with contributing:
✨ As a sign of our gratitude, we send QuestDB swag to our contributors!
A big thanks goes to the following wonderful people who have contributed to QuestDB emoji key:
$ claude mcp add questdb \
-- python -m otcore.mcp_server <graph>