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  5. Apache Pulsar vs Mosquitto

Apache Pulsar vs Mosquitto

OverviewComparisonAlternatives

Overview

Mosquitto
Mosquitto
Stacks136
Followers306
Votes14
Apache Pulsar
Apache Pulsar
Stacks118
Followers199
Votes24

Apache Pulsar vs Mosquitto: What are the differences?

# Apache Pulsar vs. Mosquitto

Apache Pulsar and Mosquitto are both popular messaging systems, but they have key differences that set them apart. Here are the top 6 differences between Apache Pulsar and Mosquitto:

1. **Scalability**: Apache Pulsar is designed for massive scalability, able to handle millions of topics and subscriptions with ease. Mosquitto, on the other hand, is more suited for small to medium scale deployments, limited by its architecture in handling large volumes of messages.

2. **Multi Protocol Support**: Apache Pulsar supports multiple messaging protocols like MQTT, Apache Kafka, and WebSockets, providing flexibility for different use cases. Mosquitto, however, primarily focuses on supporting the MQTT protocol, restricting its compatibility with other protocols.

3. **Data Retention**: Apache Pulsar offers more advanced data retention policies, allowing users to define rules for message expiration, retention limits, and compaction. Mosquitto has basic data retention capabilities but lacks the advanced features that Apache Pulsar provides.

4. **Multi-tenancy**: Apache Pulsar natively supports multi-tenancy, enabling different teams or organizations to share the same cluster while maintaining isolation and resource guarantees. Mosquitto lacks built-in support for multi-tenancy, leading to potential conflicts when multiple users or groups access the system concurrently.

5. **Reliability and Fault Tolerance**: Apache Pulsar provides built-in features for automatic data replication, failure recovery, and geo-replication, ensuring high availability and fault tolerance. Mosquitto has limited support for replication and fault tolerance, making it more prone to issues in case of hardware failures or network disruptions.

6. **Extensibility and Customizability**: Apache Pulsar offers a more extensible architecture with support for plugins, custom connectors, and streamlined integration with external systems. Mosquitto, while being lightweight and easy to deploy, lacks the extensive customization options that Apache Pulsar provides.

In Summary, Apache Pulsar and Mosquitto differ in scalability, protocol support, data retention, multi-tenancy, fault tolerance, and extensibility, catering to different messaging system requirements. 

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Detailed Comparison

Mosquitto
Mosquitto
Apache Pulsar
Apache Pulsar

It is lightweight and is suitable for use on all devices from low power single board computers to full servers.. The MQTT protocol provides a lightweight method of carrying out messaging using a publish/subscribe model. This makes it suitable for Internet of Things messaging such as with low power sensors or mobile devices such as phones, embedded computers or microcontrollers.

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.

-
Unified model supporting pub-sub messaging and queuing; Easy scalability to millions of topics; Native multi-datacenter replication; Multi-language client API; Guaranteed data durability; Scalable distributed storage leveraging Apache BookKeeper
Statistics
Stacks
136
Stacks
118
Followers
306
Followers
199
Votes
14
Votes
24
Pros & Cons
Pros
  • 10
    Simple and light
  • 4
    Performance
Pros
  • 7
    Simple
  • 4
    Scalable
  • 3
    High-throughput
  • 2
    Geo-replication
  • 2
    Multi-tenancy
Cons
  • 1
    No one and only one delivery
  • 1
    LImited Language support(6)
  • 1
    Very few commercial vendors for support
  • 1
    Only Supports Topics
  • 1
    Not jms compliant

What are some alternatives to Mosquitto, Apache Pulsar?

Kafka

Kafka

Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.

RabbitMQ

RabbitMQ

RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.

Celery

Celery

Celery is an asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well.

Amazon SQS

Amazon SQS

Transmit any volume of data, at any level of throughput, without losing messages or requiring other services to be always available. With SQS, you can offload the administrative burden of operating and scaling a highly available messaging cluster, while paying a low price for only what you use.

NSQ

NSQ

NSQ is a realtime distributed messaging platform designed to operate at scale, handling billions of messages per day. It promotes distributed and decentralized topologies without single points of failure, enabling fault tolerance and high availability coupled with a reliable message delivery guarantee. See features & guarantees.

ActiveMQ

ActiveMQ

Apache ActiveMQ is fast, supports many Cross Language Clients and Protocols, comes with easy to use Enterprise Integration Patterns and many advanced features while fully supporting JMS 1.1 and J2EE 1.4. Apache ActiveMQ is released under the Apache 2.0 License.

ZeroMQ

ZeroMQ

The 0MQ lightweight messaging kernel is a library which extends the standard socket interfaces with features traditionally provided by specialised messaging middleware products. 0MQ sockets provide an abstraction of asynchronous message queues, multiple messaging patterns, message filtering (subscriptions), seamless access to multiple transport protocols and more.

Apache NiFi

Apache NiFi

An easy to use, powerful, and reliable system to process and distribute data. It supports powerful and scalable directed graphs of data routing, transformation, and system mediation logic.

Gearman

Gearman

Gearman allows you to do work in parallel, to load balance processing, and to call functions between languages. It can be used in a variety of applications, from high-availability web sites to the transport of database replication events.

Memphis

Memphis

Highly scalable and effortless data streaming platform. Made to enable developers and data teams to collaborate and build real-time and streaming apps fast.

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