InfluxDB expands the possibilities of time series data, making challenging time series use cases, like network monitoring, observability and tracing, easier to implement than ever before.

100x faster real-time queries

A new purpose-built columnar time series database that combines a hot, compressed in-memory datastore and a cold, low-cost object store for the fastest write and query performance.


Unlimited time series volume

Eliminating cardinality limits makes it easier to support use cases that use metrics, events, logs, and traces. Write data with infinite cardinality and slice-and-dice on any dimension without sacrificing performance.


SQL support

The new DataFusion-based query engine provides more options than ever to query data – API, InfluxQL, and SQL.

Built on modern open source formats

The new InfluxDB Engine is built in the Rust programming language and comprises of 4 major components:

  • Apache Parquet files for on disk storage
  • A compressed in-memory data store
  • Apache Arrow for data in-memory operations between components
  • The DataFusion query engine
IOx Architecture Diagram
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To learn more about this next generation of InfluxDB, watch Paul Dix’s InfluxDays 2022 session.