Documentation

InfluxDB Enterprise documentation

InfluxDB Enterprise provides a time series database designed to handle high write and query loads and offers highly scalable clusters on your infrastructure with a management UI. Use for DevOps monitoring, IoT sensor data, and real-time analytics. Check out the key features that make InfluxDB Enterprise a great choice for working with time series data.

If you’re interested in working with InfluxDB Enterprise, visit InfluxPortal to sign up, get a license key, and get started!

Key features

  • High performance datastore written specifically for time series data. High ingest speed and data compression.
  • Provides high availability across your cluster and eliminates a single point of failure.
  • Written entirely in Go. Compiles into a single binary with no external dependencies.
  • Simple, high performing write and query HTTP APIs.
  • Plugin support for other data ingestion protocols such as Graphite, collectd, and OpenTSDB.
  • Expressive SQL-like query language tailored to easily query aggregated data.
  • Continuous queries automatically compute aggregate data to make frequent queries more efficient.
  • Tags let you index series for fast and efficient queries.
  • Retention policies efficiently auto-expire stale data.

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The future of Flux

Flux is going into maintenance mode. You can continue using it as you currently are without any changes to your code.

Read more

InfluxDB 3 Core and Enterprise are now in Beta

InfluxDB 3 Core and Enterprise are now available for beta testing, available under MIT or Apache 2 license.

InfluxDB 3 Core is a high-speed, recent-data engine that collects and processes data in real-time, while persisting it to local disk or object storage. InfluxDB 3 Enterprise is a commercial product that builds on Core’s foundation, adding high availability, read replicas, enhanced security, and data compaction for faster queries. A free tier of InfluxDB 3 Enterprise will also be available for at-home, non-commercial use for hobbyists to get the full historical time series database set of capabilities.

For more information, check out: