A purpose-built time series engine that focuses on high-speed ingestion, unlimited cardinality, and fast querying of recent data, suitable for monitoring, IoT, and real-time analytics workloads. The project is available under permissive licenses and targets developer-first workflows.

InfluxData provides both a Core open-source offering for single-node or private deployments and an Enterprise edition that adds production features such as high availability, read replicas, long-range querying, and fine-grained security. The platform supports running custom Python processing inside the database to transform and react to streaming data without external pipelines.

Developers benefit from extensive client libraries, integrations, and tooling (including Telegraf), plus documentation and migration paths from earlier versions. Typical uses include infrastructure and network monitoring, IoT analytics, and data historian scenarios where low-latency recent data access and large-scale ingest are essential.