InfluxDB’s new model for time series workloads

At the heart of this shift is our embedded Python Processing Engine. It runs directly inside the database, allowing developers to write custom Python that executes next to the data. The benefit? No extra infrastructure or external VMs. No network latency. No waiting. What was once a storage layer becomes an active, real-time engine for data transformation, automation, and alerting.

We’ve released two products built on this new architecture: InfluxDB 3 Core, our open source engine licensed under MIT and Apache 2, and InfluxDB 3 Enterprise, the commercial edition built for production. InfluxDB Core is lightweight, single-node, and designed for real-time workloads like edge transformation, streaming analytics, and embedded alerting. InfluxDB Enterprise builds on that foundation with historical query support, read replicas, high availability, workload isolation, and multi-node scalability. Same engine, two different jobs.

Computation where the data lives

The Processing Engine is a lightweight Python VM embedded directly in InfluxDB. It brings intelligence closer to where the data lives, so you can do more, faster, without shipping it between services. Instead of bolting on separate infrastructure for analysis, alerting, and automation, you run logic as the data flows in.

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