Scalable datastore for metrics, events, and real-time analytics

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InfluxDB Circle CI

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.
  • Data can be tagged, allowing very flexible querying.
  • SQL-like query language.
  • 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.

Getting Started

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.

Starting InfluxDB

  • service influxdb start if you have installed InfluxDB using an official Debian or RPM package.
  • systemctl start influxdb if you have installed InfluxDB using an official Debian or RPM package, and are running a distro with systemd. For example, Ubuntu 15 or later.
  • $GOPATH/bin/influxd if 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 load=42 1434055562000000000'

curl -XPOST 'http://localhost:8086/write?db=mydb' \
-d 'cpu,host=server02,region=uswest load=78 1434055562000000000'

curl -XPOST 'http://localhost:8086/write?db=mydb' \
-d 'cpu,host=server03,region=useast load=15.4 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' AND time < now - 1d"

Analyze the data

curl -G http://localhost:8086/query?pretty=true --data-urlencode "db=mydb" \
--data-urlencode "q=SELECT mean(load) FROM cpu WHERE region='uswest'"

Helpful Links