Documentation

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.


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The future of Flux

Flux is going into maintenance mode. You can continue using it as you currently are without any changes to your code.

Read more

InfluxDB 3 Open Source Now in Public Alpha

InfluxDB 3 Open Source is now available for alpha testing, licensed under MIT or Apache 2 licensing.

We are releasing two products as part of the alpha.

InfluxDB 3 Core, is our new open source product. It is a recent-data engine for time series and event data. InfluxDB 3 Enterprise is a commercial version that builds on Core’s foundation, adding historical query capability, read replicas, high availability, scalability, and fine-grained security.

For more information on how to get started, check out: