A walk-through of some exciting recent additions to InfluxDB's Processing Engine: new plugins for data ingestion, import, and validation; some general improvements to the engine; and a better configuration experience using InfluxDB 3 Explorer.

InfluxDB is a time-series database platform for collecting, storing, and analyzing time-stamped data, offering tools for monitoring, observability, and IoT applications. From this resource users can learn about time-series data modeling, querying, and visualization to monitor and analyze their systems' performance and behavior in real-time.

InfluxData

InfluxDB 3's Processing Engine has received several updates including new beta plugins for data ingestion (MQTT, Kafka, AMQP subscribers), OPC UA integration for industrial environments, an import plugin for migrating from older InfluxDB versions, and a schema validator plugin. Engine improvements include synchronous writes with durability control, batch writes for higher throughput, and asynchronous request handling for concurrent execution. InfluxDB 3 Explorer now offers form-based UI configuration for select plugins, replacing manual parameter assembly.

New Plugins, Faster Writes, and Easier Configuration: What’s New with the InfluxDB 3 Processing Engine

A quick refresher: Processing Engine plugins

New plugins: data ingestion, import, and validation