InfluxDB Version 0.11 Documentation

Warning! This page documents an old version of InfluxDB, which is no longer actively developed. InfluxDB v1.3 is the most recent stable version of InfluxDB.

InfluxDB is a time series database built from the ground up to handle high write and query loads. InfluxDB is meant to be used as a backing store for any use case involving large amounts of timestamped data, including DevOps monitoring, application metrics, IoT sensor data, and real-time analytics.

Key Features

Here are some of the features that InfluxDB currently supports that make it a great choice for working with time series data.

  • Custom high performance datastore written specifically for time series data. The TSM engine allows for high ingest speed and data compression.
  • Written entirely in Go. It compiles into a single binary with no external dependencies.
  • Clustering is built in. Nothing else is needed to make data highly available (unlike Redis, ZooKeeper, Cassandra, and others).

Note: InfluxDB 0.11 is the last open source version that includes clustering. For more information, please see Paul Dix’s blog post on InfluxDB Clustering, High-Availability, and Monetization. Please note that the 0.11 version of clustering is still considered experimental, and there are still quite a few rough edges.

  • Simple, high performing write and query HTTP(S) APIs.
  • Plugins support for other data ingestion protocols such as Graphite, collectd, and OpenTSDB.
  • Expressive SQL-like query language tailored to easily query aggregated data.
  • Tags allow series to be indexed for fast and efficient queries.
  • Retention policies efficiently auto-expire stale data.
  • Continuous queries automatically compute aggregate data to make frequent queries more efficient.
  • Built in web admin interface.

Project Status

  • Clustering, replication, and high-availability are in a beta state.