Documentation

InfluxDB OSS v1 documentation

This page documents an earlier version of InfluxDB OSS. InfluxDB OSS v2 is the latest stable version. View this page in the v2 documentation.

InfluxDB is a time series database designed to handle high write and query loads. It is an integral component of the TICK stack. 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.
  • Simple, high performing write and query HTTP 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.

The open source edition of InfluxDB runs on a single node. If you require high availability to eliminate a single point of failure, consider the InfluxDB Enterprise Edition.


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The future of Flux

Flux is going into maintenance mode. You can continue using it as you currently are without any changes to your code.

Read more

InfluxDB 3 Open Source Now in Public Alpha

InfluxDB 3 Open Source is now available for alpha testing, licensed under MIT or Apache 2 licensing.

We are releasing two products as part of the alpha.

InfluxDB 3 Core, is our new open source product. It is a recent-data engine for time series and event data. InfluxDB 3 Enterprise is a commercial version that builds on Core’s foundation, adding historical query capability, read replicas, high availability, scalability, and fine-grained security.

For more information on how to get started, check out: