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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.
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.
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.
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.
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.
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.
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.
Pros of Apache Pulsar
- Simple7
- Scalable4
- High-throughput3
- Geo-replication2
- Multi-tenancy2
- Pulsar Functions1
- Secure1
- Stream SQL1
- Horizontally scaleable1
- Easy to deploy1
- Fast1
Pros of Apache RocketMQ
- Million-level message accumulation capacity in a single2
- Support tracing message and transactional message2
- BigData Friendly1
- High throughput messaging1
- Feature-rich administrative dashboard for configuration1
- Low latency1
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Cons of Apache Pulsar
- Very few commercial vendors for support1
- LImited Language support(6)1
- No one and only one delivery1
- No guaranteed dliefvery1
- Not jms compliant1
- Only Supports Topics1