InfluxDB: Differences between InfluxDB and relational databases

This documentation is part of the Introduction guide. View the full guide here: Introduction to InfluxDB, everything you need to know about it.

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Time series databases differ from relational databases because they are designed to capture and query continuously updated metrics rather than structured relationships. Relational databases, such as MySQL or PostgreSQL, work well for storing structured data like user profiles and messages where data relationships are essential. In contrast, time series databases are built to efficiently record and analyse continuously updated measurements.

Continue reading this guide

  1. Read the full guide: Introduction
    Introduction to InfluxDB, everything you need to know about it
  2. What is InfluxDB
  3. InfluxData, the company behind InfluxDB
  4. InfluxDB is a time series database (TSDB)
  5. Differences between InfluxDB and NoSQL databases
  6. When to use InfluxDB
  7. When not to use InfluxDB
  8. What makes InfluxDB so great
  9. What is InfluxDB cloud
  10. How to start InfluxDB

Other articles for InfluxDB

  1. Getting started
    How to get started with InfluxDB
  2. Automate with the CLI
    Start InfluxDB, retrieve its credentials, and change its configuration programmatically with the Stackhero CLI
  3. GitHub Actions & GitLab CI
    Spin up a real InfluxDB service from your GitHub Actions or GitLab CI pipeline, run your tests against it, and tear it down automatically