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.
