InfluxDB 1.7 documentation

InfluxDB is a time series database designed to handle high write and query loads.It is an integral component of theTICK 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.