Pulsar Web Sockets
Apache Pulsar is a distributed pub-sub messaging system that is designed to be fast, scalable, and durable. It provides a simple API for building high-performance, cloud-native, and scalable messaging applications.
- Since:2017
- Changelog:pulsar.apache.org
- Dockerhub:apachepulsar
- Docs:pulsar.apache.org
- Github Topic:apache-pulsar
- License:www.apache.org
- Official:pulsar.apache.org
- Repository:github.com
- Twitter:@ApachePulsar
#What is Pulsar?
Pulsar is a distributed pub-sub messaging system originally developed by Yahoo, and later open-sourced and managed by Apache Software Foundation. It provides a scalable, low-latency messaging solution designed to handle high volume data streams. Pulsar has a flexible architecture that supports both traditional queuing and publish-subscribe messaging models.
#Pulsar Key Features
Most recognizable Pulsar features include:
- Horizontal scalability with built-in multi-tenancy support.
- Low latency and high throughput with support for both persistent and non-persistent messaging.
- Tiered storage architecture that allows for cost-effective long-term storage of messages.
- Multi-language support including Java, C++, Python, and more.
- Seamless integration with other big data tools and frameworks such as Apache Kafka and Apache Flink.
- Built-in security features such as authentication, authorization, and encryption.
#Pulsar Use-Cases
Some of the Pulsar use-cases are:
- Real-time stream processing and analysis for applications such as fraud detection, clickstream analysis, and IoT data management.
- Messaging and event-driven architecture for microservices and other distributed systems.
- Data ingestion and storage for big data applications such as log processing, machine learning, and data warehousing.
#Pulsar Summary
Pulsar is a highly scalable and flexible pub-sub messaging system designed for handling high volume data streams with low latency and high throughput. It supports multiple programming languages and can be used for various use-cases including real-time data processing, messaging and event-driven architecture, and big data ingestion and storage.
