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Version: 0.13.0 (stable)

Fluvio Overview

Fluvio is a lean distributed streaming engine designed for edge to core stream processing. It offers a unique combination of performance, scalability, and programmability, making it an ideal choice for building real-time data pipelines. Written in Rust, Fluvio provides low-latency, secure, high-performance programmable streaming on cloud-native architecture. Fluvio provides client libraries for Rust, Python, JavaScript and more. – [Learn more about Fluvio client libraries]

Cloud Native​

Fluvio is cloud native by design. Built as a collection of loosely coupled components which run and scale dynamically on demand. Fluvio is:

  • Declarative - to reduce the management burden.
  • Kubernetes native - to plug-in native in K8 environments.
  • Horizontally scalable - to meet data elasticity requirements.
  • Self-healing - to recover from failures without human intervention.

Edge Native​

Fluvio is built to be lean and efficient to cold start in milliseconds and operated efficiently on any system architecture. Fluvio is:

  • Lightweight - 37 MB single binary that runs on ARM64 IoT devices
  • Event Driven - Fully event-driven with async architecture to support large I/O.
  • Multithreaded - Leverage multi-core CPU architecture to operate at maximum performance.
  • Fast - Internal component benchmarks are at nanosecond latency for data processing leading to a real-time system

AI Native​

Fluvio is built with full feature data processing APIs for analytics and AI. It's ideal for developers who want to build data pipelines to power intelligent applications. Fluvio helps developers:

  • Customize and manage Data Lifecycle.
  • Orchestrate long-running data& AI pipelines.
  • Deploy declarative APIs for stream processing and materialization.

Key Features and Benefits​

  1. Cloud-Native Design: Simplified deployment and management in cloud environments
  • Horizontal scaling
  • Self-healing capabilities
  • Declarative management
  • Kubernetes-native
  1. Efficient Resource Usage: Suitable for both cloud and edge computing
  • Low latency
  • Small memory footprint
  • Leverage multi-core CPU architecture
  • Fully event-driven with async architecture
  1. Enhanced Security: Robust security features for distributed infrastructures
  • Data stream segregation
  • User and team isolation in cloud
  • Fine-grained access control in cloud
  1. Comprehensive APIs: Flexibility to customize stream processing with familiar languages
  • Full-featured data APIs for developers
  • Support for Rust, Python, SQL, JavaScript and more
  1. Programmable Stream Processing: High-performance, low-latency data processing capabilities
  • WebAssembly-powered customization
  • Secure sandbox execution
  • Fast inline computation
  • Language-agnostic development

Technical Highlights​

  • Powered by Rust: Offers high performance, safety, and cross-platform compatibility
  • WebAssembly Integration: Enables secure, high-performance custom stream processing logic
  • Cloud-Native Control Plane: Inspired by Kubernetes, uses declarative programming with eventual consistency

Fluvio aims to democratize event driven architecture, enabling organizations to build real-time, data-driven services efficiently and securely. [Learn more about Fluvio client libraries]: fluvio/apis/overview.mdx