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An open source SQL database designed to process time-series data, faster

Home Page: https://www.questdb.io

License: Apache License 2.0

Java 87.51% HTML 0.02% CMake 0.09% C 2.71% JavaScript 0.01% Shell 0.05% C++ 8.27% Rust 0.01% Dockerfile 0.01% Makefile 0.01% Assembly 1.32%

questdb's Introduction

QuestDB Logo

 

QuestDB community Slack channel QuestDB open source contributors QuestDB on Apache Maven

English | 简体中文 | 繁體中文 | العربية

QuestDB

QuestDB is a high-performance, open-source SQL database for applications in financial services, IoT, machine learning, DevOps and observability. It includes endpoints for PostgreSQL wire protocol, high-throughput schema-agnostic ingestion using InfluxDB Line Protocol, and a REST API for queries, bulk imports, and exports.

QuestDB implements ANSI SQL with native extensions for time-oriented language features. These extensions make it simple to correlate data from multiple sources using relational and time series joins. QuestDB achieves high performance from a column-oriented storage model, massively-parallelized vector execution, SIMD instructions, and various low-latency techniques. The entire codebase was built from the ground up in Java and C++, with no dependencies, and is 100% free from garbage collection.

Try QuestDB

We provide a live demo provisioned with the latest QuestDB release and sample datasets:

  • 10 years of NYC taxi trips with 1.6 billion rows
  • live trading data from a cryptocurrency exchange
  • geolocations of 250k unique ships over time

Install QuestDB

To run QuestDB, Docker can be used to get started quickly:

docker run -p 9000:9000 -p 9009:9009 -p 8812:8812 questdb/questdb

macOS users can use Homebrew:

brew install questdb
brew services start questdb

questdb start // To start questdb
questdb stop  // To stop questdb

The QuestDB downloads page provides direct downloads for binaries and has details for other installation and deployment methods.

Connect to QuestDB

You can interact with QuestDB using the following interfaces:

How QuestDB compares to other open source TSDBs

Here are high-cardinality Time Series Benchmark Suite results using the cpu-only use case with 6 workers on an AMD Ryzen 3970X:

The following table shows query execution time of a billion rows run on a c5.metal instance using 16 of the 96 threads available:

Query Runtime
SELECT sum(double) FROM 1bn 0.061 secs
SELECT tag, sum(double) FROM 1bn 0.179 secs
SELECT tag, sum(double) FROM 1bn WHERE timestamp in '2019' 0.05 secs

Resources

📚 Read the docs

❓ Get support

🚢 Deploy QuestDB

Contribute

We are always happy to have contributions to the project whether it is source code, documentation, bug reports, feature requests or feedback. To get started with contributing:

✨ As a sign of our gratitude, we also send QuestDB swag to our contributors. Claim your swag here.

A big thanks goes to the following wonderful people who have contributed to QuestDB: (emoji key):


clickingbuttons

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ideoma

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This project follows the all-contributors specification. Contributions of any kind welcome!

questdb's People

Contributors

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Watchers

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