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Apache Pulsar is an open-source, cloud-native messaging and streaming platform designed for high-performance, low-latency communication. It supports millions of messages per second, offers multi-tenancy, geo-replication, and tiered storage, and simplifies application architecture with scalable, distributed processing.

Vendor

Vendor

The Apache Software Foundation

Company Website

Company Website

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Product details

Apache Pulsar

Apache Pulsar is an open-source, cloud-native messaging and streaming platform designed for high-performance, scalable, and resilient data communication. Originally developed by Yahoo and now maintained by the Apache Software Foundation, Pulsar supports both real-time and batch messaging, making it ideal for modern data-driven applications across industries.

Features

  • Multi-tenant architecture with resource isolation
  • Native support for geo-replication across clusters
  • Tiered storage for hot, warm, and cold data management
  • Multiple subscription modes: exclusive, shared, failover, and key_shared
  • Support for up to one million topics per cluster
  • Built-in serverless computing via Pulsar Functions
  • Pulsar IO connectors for seamless data integration
  • Official client libraries for Java, Go, Python, C++, Node.js, and C#
  • Automatic load balancing and topic bundle splitting
  • Message compaction and topic-level retention policies

Capabilities

  • Enables low-latency messaging (<10ms) and high-throughput streaming
  • Supports distributed work queues and event-driven architectures
  • Facilitates real-time analytics and data pipeline orchestration
  • Provides fault tolerance with automatic client failover
  • Integrates with Kubernetes for cloud-native deployments
  • Offers flexible schema support and schema evolution
  • Handles millions of messages per second across hundreds of nodes
  • Allows fine-grained access control and authentication

Benefits

  • Simplifies application architecture with unified messaging and streaming
  • Scales horizontally without data reshuffling
  • Reduces operational complexity with built-in replication and load balancing
  • Enhances reliability and availability across geographic regions
  • Supports diverse use cases from IoT to financial services
  • Promotes developer productivity with rich APIs and tooling
  • Maintains open-source governance and community-driven innovation
  • Enables cost-effective data storage and processing