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Apache Pulsar - Distributed Pub-Sub Messaging and Streaming Platform
Apache Pulsar is a cloud-native, distributed pub-sub messaging system. It provides high performance, elastic scalability, and flexible messaging models, making it an ideal platform for real-time workloads and data pipelines.
Java
Added on 2025年6月27日14,689
Stars3,645
ForksJava
LanguageProject Introduction
Summary
Apache Pulsar is an open-source, distributed messaging and streaming platform designed for high performance and scalability. It combines pub-sub, queuing, streaming, and data integration capabilities into a single, unified system.
Problem Solved
In modern distributed systems, reliably transporting messages, handling massive data streams, and ensuring scalability across various applications are critical challenges. Apache Pulsar addresses these by providing a robust, scalable, and unified messaging platform.
Core Features
Cloud-Native Architecture
Achieve unlimited horizontal scalability and low latency across a wide range of deployment sizes.
Unified Messaging Model
Supports both pub-sub (streaming) and queuing (queueing) semantics on the same topic, offering flexibility.
Geo-Replication
Effortlessly replicate data asynchronously across geo-graphically distributed clusters.
Tech Stack
Java
C++
Go
Python
Node.js
Kubernetes
使用场景
Apache Pulsar's flexible architecture makes it suitable for a wide range of use cases requiring robust, scalable messaging.
场景一：微服务间通信
Details
Use Pulsar as the central communication layer for microservices, enabling asynchronous communication and service decoupling.
User Value
Enhance system resilience and scalability by decoupling services and managing traffic spikes effectively.
场景二：实时数据流处理
Details
Process continuous streams of data from various sources in real-time for immediate analysis, monitoring, or storage.
User Value
Gain instant insights from streaming data, enabling timely business decisions and automated responses.
场景三：数据集成与管道
Details
Build reliable data pipelines for ETL processes, moving data between databases, data lakes, and processing systems.
User Value
Ensure reliable and scalable data movement across your infrastructure, simplifying data integration complexity.
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