Apache Pulsar vs Apache RocketMQ

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Apache Pulsar

111
196
+ 1
24
Apache RocketMQ

48
200
+ 1
8
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Apache Pulsar vs Apache RocketMQ: What are the differences?

Introduction

Apache Pulsar and Apache RocketMQ are both open-source messaging systems used for building real-time streaming applications. While they share some similarities, there are key differences between the two.

  1. Messaging Model: Apache Pulsar follows a publish-subscribe messaging model, where publishers and subscribers communicate through topics. It supports both one-to-many and many-to-many communication patterns. In contrast, Apache RocketMQ follows a distributed messaging model, with producers sending messages to specific queues or topics, and consumers pulling messages from these queues or topics.

  2. Scale and Scalability: Apache Pulsar is designed to be inherently scalable, allowing seamless horizontal scalability across multiple clusters. It provides built-in support for multi-tenancy and efficient data replication. On the other hand, Apache RocketMQ is also scalable, but it focuses more on vertical scalability within a single cluster by supporting partitioning and sharding of topics.

  3. Persistence and Durability: Apache Pulsar offers persistent message storage by default, ensuring durability even in the presence of failures. It utilizes a tiered storage architecture with a combination of off-heap, on-heap, and disk storage. Apache RocketMQ, on the other hand, supports both persistent and non-persistent messaging, but it primarily focuses on providing high throughput rather than strong durability guarantees.

  4. Message Ordering: Apache Pulsar guarantees strict message ordering within a partition, enabling reliable FIFO processing. It ensures that messages published to a topic are consumed in the same order they were published. In contrast, Apache RocketMQ provides a more relaxed ordering guarantee, allowing out-of-order message consumption within a topic.

  5. Cross Datacenter Replication: Apache Pulsar has native support for replicating data across multiple datacenters, providing seamless disaster recovery and geo-distribution capabilities. It ensures strong consistency between datacenters. Conversely, Apache RocketMQ relies on third-party solutions or custom implementations for cross-datacenter replication.

  6. Ecosystem and Community: Apache Pulsar has a growing ecosystem with a diverse set of connectors, integrations, and tools. It is backed by a vibrant and active community, which contributes to its rapid development. Apache RocketMQ also has a strong ecosystem and community support, but it may have a relatively smaller community compared to Apache Pulsar.

In summary, Apache Pulsar and Apache RocketMQ differ in their messaging models, scalability approaches, durability guarantees, message ordering, cross-datacenter replication support, and ecosystem/community size.

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Pros of Apache Pulsar
Pros of Apache RocketMQ
  • 7
    Simple
  • 4
    Scalable
  • 3
    High-throughput
  • 2
    Geo-replication
  • 2
    Multi-tenancy
  • 1
    Pulsar Functions
  • 1
    Secure
  • 1
    Stream SQL
  • 1
    Horizontally scaleable
  • 1
    Easy to deploy
  • 1
    Fast
  • 2
    Million-level message accumulation capacity in a single
  • 2
    Support tracing message and transactional message
  • 1
    BigData Friendly
  • 1
    High throughput messaging
  • 1
    Feature-rich administrative dashboard for configuration
  • 1
    Low latency

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Cons of Apache Pulsar
Cons of Apache RocketMQ
  • 1
    Very few commercial vendors for support
  • 1
    LImited Language support(6)
  • 1
    No one and only one delivery
  • 1
    No guaranteed dliefvery
  • 1
    Not jms compliant
  • 1
    Only Supports Topics
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    What is Apache Pulsar?

    Apache Pulsar is a distributed messaging solution developed and released to open source at Yahoo. Pulsar supports both pub-sub messaging and queuing in a platform designed for performance, scalability, and ease of development and operation.

    What is Apache RocketMQ?

    Apache RocketMQ is a distributed messaging and streaming platform with low latency, high performance and reliability, trillion-level capacity and flexible scalability.

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    What companies use Apache Pulsar?
    What companies use Apache RocketMQ?
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    What tools integrate with Apache Pulsar?
    What tools integrate with Apache RocketMQ?

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