Fluvio is a distributed data streaming engine written in Rust that combines stream processing with stateful dataflow capabilities for real-time event processing.
The tool addresses the need to collect, transform, and process data in motion at scale. It provides a unified, composable approach to streaming and stream processing through a distributed architecture. Developers work with topics to produce and consume data, and can build complex processing workflows using Stateful DataFlow, a framework that handles stateful transformations across multiple programming languages.
Fluvio suits teams building real-time, data-intensive applications that require both ingestion and transformation of streaming data. The project includes native connectors for HTTP, webhooks, MQTT, and Kafka on the inbound side, with outbound support for HTTP, SQL, Kafka, and experimental connectors to DuckDB, Redis, S3, and Graphite. A Connector Development Kit allows building custom integrations to arbitrary systems. The tool is designed to be lean and operates as a cloud-native, serverless system suitable for event-driven architectures.
Development activity shows consistent engagement with the codebase through regular commits and active issue management. The project maintains documentation across multiple areas including core Fluvio concepts, CLI usage, architecture details, and Stateful DataFlow specifics. Community examples and resources for building custom connectors are actively maintained, indicating ongoing investment in developer experience and extensibility.
