Time Series Platform - InfluxDB 1.x

High performance

InfluxDB is a high-performance data store written specifically for time series data. It allows for high throughput ingest, compression and real-time querying. InfluxDB is written entirely in Go and compiles into a single binary with no external dependencies. It provides write and query capabilities with a command-line interface, a built-in HTTP API, a set of client libraries (e.g., Go, Java, and JavaScript) and plugins for common data formats such as Telegraf, Graphite, Collectd and OpenTSDB.

SQL-like queries

InfluxDB works with InfluxQL, a SQL-like query language for interacting with data. It has been lovingly crafted to feel familiar to those coming from other SQL or SQL-like environments while also providing features specific to storing and analyzing time series data. InfluxQL supports regular expressions, arithmetic expressions, and time series-specific functions to speed up data processing.

Downsampling and data retention

InfluxDB can handle millions of data points per second. Working with that much data over a long period can lead to storage concerns. InfluxDB automatically compacts data to minimize your storage space. In addition, you can easily downsample the data; keeping high-precision raw data for a limited time and storing the lower-precision, summarized data for much longer or until the end of time. InfluxDB has two features that help to automate the downsampling and data expiration processes — Continuous Queries and Retention Policies.