InfluxDB is the Time Series Database in the TICK Stack
InfluxData’s TICK Stack is built around InfluxDB to handle massive amounts of time-stamped information. This time series database provides support for your metrics analysis needs, from DevOps Monitoring, IoT Sensor data, and Real-Time Analytics. Users can adapt their SQL skills with InfluxQL, so they can get up to speed on this time series database.
InfluxDB provides InfluxQL as a SQL-like query language for interacting with your 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 also 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 of time can create storage concerns. InfluxDB will automatically compact the data to minimize your storage space. In addition, you can easily downsample the data; keeping the high precision raw data for only a limited time, and storing the lower precision, summarized data for much longer or forever. InfluxDB offers two features—Continuous Queries (CQ) and Retention Policies (RP)—that help you automate the process of downsampling data and expiring old data.