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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:
- Low-latency, high-throughput ingestion — from single events to millions/sec
- Low-latency SQL with time-series extensions (ASOF JOIN, WINDOW JOIN, HORIZON JOIN, SAMPLE BY, LATEST ON)
- SIMD-accelerated, parallel execution
- Multi-tier storage: WAL → native columnar → Parquet (time-partitioned and time-ordered)
- Postgres protocol (PGwire) and REST API
- Views, materialized views, and n-dimensional arrays (incl. 2D arrays for order books)
- Web console for queries and data management
- Apache 2.0 open source and open formats — no vendor lock-in
- Finance functions and orderbook analytics
QuestDB excels with:
- financial market data (tick data, trades, order books, OHLC)
- Sensor/telemetry data with high data cardinality
- real-time dashboards and monitoring
- AI coding agents for automated data pipelines and analytics
And why use a time-series database?
Beyond performance and efficiency, with a specialized time-series database, you don't need to worry about:
- out-of-order data
- deduplication and exactly one semantics
- Continuous streaming ingest with many concurrent queries
- streaming data (low latency)
- volatile and "bursty" data
- adding new columns - change schema "on the fly" while streaming data
The live, public demo is provisioned with the latest QuestDB release and sample datasets:
- Trades: live crypto trades with 30M+ rows per month (OKX exchange)
- FX order book: live charts with orderbook FX pairs.
- Trips: 10 years of NYC taxi trips with 1.6 billion rows
We also have some public, real-time demo dashboards using our Grafana-native plugin:
- Real-time crypto trades: executed trades on OKX from more than 20 assets in real time
- FX order book: live depth/imbalance charts for major FX pairs
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/questdbOr macOS users can use Homebrew:
brew install questdb
brew services start questdbquestdb start
questdb stopAlternatively, to kickoff the full onboarding journey, start with our concise quick start guide.
QuestDB clients for ingesting data and running queries over the QuestDB Wire Protocol:
See the Connect overview for the full picture.
The QuestDB Wire Protocol (QWP) is the native protocol and the recommended
way to talk to QuestDB. It is binary, streams in both directions over a single
connection on port 9000, and covers ingestion and queries through one
connect string. The first-party clients listed above speak it.
QuestDB also speaks compatibility protocols, so existing tooling works unchanged:
- InfluxDB Line Protocol
for collectors and pipelines that already emit ILP, on port
9000 - PostgreSQL Wire Protocol
for Postgres drivers, BI tools, and ORMs, on port
8812 - REST API for HTTP
scripting, cURL, and CSV import, on port
9000
For interactive use, the
Web Console
provides a SQL editor, charts, and CSV import on port 9000.
Popular 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:
- high availability and read replica(s)
- multi-primary ingestion
- cold storage integration
- role-based access control
- TLS encryption
- native querying of Parquet files via object storage
- support SLAs, enhanced monitoring and more
Visit the Enterprise page for further details and contact information.
- QuestDB documentation: begin the journey
- Product roadmap: check out our plan for upcoming releases
- Tutorials: learn what's possible with QuestDB, step by step
- Community Discourse forum: join technical discussions, ask questions, and meet other users!
- Public Slack: chat with the QuestDB team and community members
- GitHub issues: report bugs or issues with QuestDB
- Stack Overflow: look for common troubleshooting solutions
- Official Docker image
- Kubernetes Helm charts
- systemd
- AWS
- Azure
- Google Cloud Platform
- DigitalOcean
- Hetzner
- ZFS compression
Contributions welcome!
We appreciate:
- source code
- documentation (see our documentation repository)
- bug reports
- feature requests or feedback.
To get started with contributing:
- Have a look through GitHub issues labelled "Good first issue"
- For Hacktoberfest, see the relevant labelled issues
- Read the contribution guide
- For details on building QuestDB, see the build instructions
- Create a fork of QuestDB and submit a pull request with your proposed changes
- Stuck? Join our public Slack for assistance
✨ 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:
This project adheres to the all-contributors specification. Contributions of any kind are welcome!
