An Open-Source, Distributed, Time Series Database
InfluxDB v0.9.0 is now out. Going forward, the 0.9.x series of releases will not make breaking API changes or breaking changes to the underlying data storage. However, 0.9.0 clustering should be considered an alpha release.
InfluxDB is an open source distributed time series database with no external dependencies. It's useful for recording metrics, events, and performing analytics.
- Built-in HTTP API so you don't have to write any server side code to get up and running.
- Clustering is supported out of the box, so that you can scale horizontally to handle your data.
- Simple to install and manage, and fast to get data in and out.
- It aims to answer queries in real-time. That means every data point is indexed as it comes in and is immediately available in queries that should return in < 100ms.
The following directions apply only to the 0.9.0 release or building from the source on master.
You don't need to build the project to use it - you can use any of our pre-built packages to install InfluxDB. That's the recommended way to get it running. However, if you want to contribute to the core of InfluxDB, you'll need to build. For those adventurous enough, you can follow along on our docs.
service influxdb startif you have installed InfluxDB using an official Debian or RPM package.
$GOPATH/bin/influxdif you have built InfluxDB from source.
Creating your first database
curl -G 'http://localhost:8086/query' --data-urlencode "q=CREATE DATABASE mydb"
Insert some data
curl -XPOST 'http://localhost:8086/write?db=mydb' \ -d 'cpu,host=server01,region=uswest value=1.0 1434055562000000000'
Query for the data
curl -G http://localhost:8086/query?pretty=true --data-urlencode "db=mydb" \ --data-urlencode "q=SELECT * FROM cpu WHERE host='server01'"
- Understand the design goals and motivations of the project.
- Follow the getting started guide to find out how to install InfluxDB, start writing more data, and issue more queries - in just a few minutes.
- See the HTTP API documentation to start writing a library for your favorite language.