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InfluxDB

Time series database for real-time events and monitoring, built on Apache Arrow, DataFusion and Parquet for quick queries.

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InfluxDB 3 Core collects, processes, transforms and stores event and time series data. It aims at the case where readings must land and come back quickly enough to drive a dashboard, an alert or an interactive interface, covering sensor data, server and application monitoring, network telemetry, trading analytics and behavioral analysis.

The engine is written in Rust on Apache Arrow and DataFusion. Data persists as Parquet files on object storage from Amazon, Azure or Google, or on local disk with no other dependency, and the architecture is diskless by design. Writes arrive as line protocol over an HTTP API on port 8181.

Several traits separate this release from earlier InfluxDB generations.

  • Query languages: SQL through the native engine, InfluxQL for older workloads, and Flight SQL.
  • Response times: Under ten milliseconds for last-value queries and around thirty for distinct metadata.
  • Embedded Python: A built-in virtual machine runs plugins and triggers next to the data.
  • Compatibility: The 1.x and 2.x write APIs and the 1.x query API continue to work.
  • Branch layout: Versions 2.x and 1.x live on their own branches of the same repository.

Core has been generally available since April 2025 and is licensed under MIT or Apache 2 at the user's choosing, with commercial code kept separate. Docker images, Debian and RPM packages and tarballs come from the InfluxData downloads page, and building from source is documented for contributors.

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