InfluxDB: Differences between InfluxDB and relational databases

This documentation is part of the Introduction guide. You can view the complete guide here: Introduction to InfluxDB, everything you need to know about it.

👋 Welcome to the Stackhero documentation

Stackhero offers a fully managed InfluxDB cloud environment, designed for speed and simplicity:

• Unlimited writes, queries, dashboards, tasks, and buckets.
• Unlimited data retention: keep your metrics for as long as you need.
• Unlimited network and disk transfers, with no hidden limits.
• One-click updates: always benefit from the latest features and fixes.
• Consistent performance and enhanced security on your own private, dedicated infrastructure.

With Stackhero, you can focus on your data and analytics. Deploying InfluxDB cloud hosting only takes a few minutes, and every setup is optimized for long-term reliability.

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 analyze continuously updated measurements.