InfluxDB: High-throughput time-series database

What it’s for: High-volume metrics including IoT sensors, industrial monitoring, and sub-second precision data.

Good to know

Built for high write throughput, which suits high-volume, high-frequency data
Built-in downsampling and retention policies help manage storage as data ages.
The query language depends on your version.

Query language support by version

InfluxDB version	Query languages
1.x	InfluxQL (Flux in 1.8+)
2.x	Flux, InfluxQL
3.x (including Cloud Serverless)	SQL, InfluxQL

Best for

IoT and sensor data
Industrial monitoring
High-frequency metrics (sub-second)

Documentation

View the full documentation.

InfluxDB data source

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Script

InfluxDB is the other major player in time-series databases, and it has a different sweet spot than Prometheus. Where Prometheus excels at cloud-native metrics, InfluxDB shines at very high write throughput.

Think IoT sensors, industrial monitoring, high-frequency trading systems.

You have three query language options depending on your version: SQL for InfluxDB 3.x, InfluxQL which is SQL-like with familiar SELECT, FROM, and WHERE statements, and Flux which is functional with broader capabilities for data shaping and transformations.

InfluxDB also has built-in downsampling and retention policies, which helps manage storage as data ages.

If you’re dealing with high volumes of time-series data from devices or sensors, InfluxDB is worth considering.

InfluxDB: High-throughput time-series database

Good to know

Query language support by version

Best for

Documentation

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