Frequently asked questions

What is time series data?
Why shouldn’t I just use a relational database?

What is time series data?

Time series data is a series of data points each associated with a specific time. Examples include:

  • Server performance metrics
  • Financial averages over time
  • Sensor data, such as temperature, barometric pressure, wind speeds, etc.

Why shouldn’t I just use a relational database?

Relational databases can be used to store and analyze time series data, but depending on the precision of your data, a query can involve potentially millions of rows. InfluxDB is purpose-built to store and query data by time, providing out-of-the-box functionality that optionally downsamples data after a specific age and a query engine optimized for time-based data.

Was this page helpful?

Thank you for your feedback!

Introducing InfluxDB 3.0

The new core of InfluxDB built with Rust and Apache Arrow. Available today in InfluxDB Cloud Dedicated.

Learn more

State of the InfluxDB Cloud Serverless documentation

The new documentation for InfluxDB Cloud Serverless is a work in progress. We are adding new information and content almost daily. Thank you for your patience!

If there is specific information you’re looking for, please submit a documentation issue.