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Zenoh - Unified Data Abstraction for High-Performance Distributed Systems
Zenoh is a unified data abstraction layer designed for efficiency and performance across data in motion, data in use, data at rest, and computations. It offers a unique blend of publish/subscribe, geo-distributed storage, querying, and computation capabilities.
Rust
Added on 2025年6月15日1,903
Stars196
ForksRust
LanguageProject Introduction
Summary
Zenoh is an innovative open-source project that provides a unified, high-performance communication and data management layer. It unifies data across its lifecycle and location, enabling efficient development of distributed applications, especially in challenging environments like IoT and Edge computing.
Problem Solved
Traditional approaches often treat data in motion (messaging), data at rest (databases), and data in use (memory) as separate silos, leading to complex architectures, data fragmentation, and inefficiency. Zenoh solves this by providing a seamless, performant layer that unifies access and management across these different states and locations.
Core Features
Unified Data Abstraction
Provides a single API for interacting with data regardless of its state (in motion, at rest, in use).
Integrated Pub/Sub and Storage
Combines traditional publish/subscribe messaging with distributed data storage and querying.
High Performance
Designed for optimal time and space efficiency, outperforming many mainstream data stacks.
Geo-Distributed Capabilities
Enables data management and computation across geographically distributed environments.
Tech Stack
Rust
Networking
Distributed Systems
High Performance Computing
使用场景
Zenoh's unified approach makes it ideal for scenarios requiring efficient data management and communication in distributed and resource-constrained environments.
场景一：大规模物联网数据汇聚与分发
Details
Connecting a multitude of sensors and devices, collecting data, and enabling real-time processing and control at the edge and in the cloud via a single protocol.
User Value
Reduces complexity and latency in IoT data flows, improving scalability and reliability.
场景二：实时机器人协作与数据共享
Details
Building collaborative robotic systems where robots need to share sensor data, state information, and task commands efficiently and in real-time.
User Value
Enables low-latency, high-throughput communication essential for coordinated robotic tasks.
场景三：分布式仿真与数字孪生同步
Details
Implementing complex distributed simulations or digital twins where state changes, sensor data, and control signals must be synchronized across multiple nodes.
User Value
Provides the necessary performance and unified data access for maintaining consistent state across the simulation.
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