Top 10 RabbitMQ Alternatives & Competitors

(47)4.1 out of 5

If you are considering RabbitMQ, you may also want to investigate similar alternatives or competitors to find the best solution. Other important factors to consider when researching alternatives to RabbitMQ include integration. The best overall RabbitMQ alternative is MuleSoft Anypoint Platform. Other similar apps like RabbitMQ are IBM MQ, Apache Kafka, Google Cloud Pub/Sub, and Amazon MQ. RabbitMQ alternatives can be found in Message Queue (MQ) Software but may also be in iPaaS Software or Event Stream Processing Software.

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Best Paid & Free Alternatives to RabbitMQ

MuleSoft Anypoint Platform
IBM MQ
Apache Kafka
Google Cloud Pub/Sub
Amazon MQ
Apache ActiveMQ
KubeMQ
ZeroMQ

Top 10 Alternatives to RabbitMQ Recently Reviewed By G2 Community

Browse options below. Based on reviewer data, you can see how RabbitMQ stacks up to the competition, check reviews from current & previous users in industries like Computer Software, Internet, and E-Learning, and find the best product for your business.

MuleSoft Anypoint Platform

By Salesforce

4.5/5

(712)

Product Description

Reviewers say compared to RabbitMQ, MuleSoft Anypoint Platform is:

More expensive

Easier to do business with

Easier to set up

Categories in common with RabbitMQ:

By IBM

Product Description

IBM® MQ, formerly WebSphere MQ, is messaging middleware that simplifies and accelerates the integration of diverse applications and data across multiple platforms. It uses message queues to exchange information and offers a single messaging solution for cloud, on premise, mobile and IoT environments. By connecting virtually everything, from a simple pair of applications to the most complex business environments, it improves responsiveness, controls costs, reduces risk and provides real-time insight from data. It is available in a standard edition, an advanced edition, as an appliance and in a z/OS version.

Reviewers say compared to RabbitMQ, IBM MQ is:

Slower to reach roi

More expensive

Easier to do business with

Categories in common with RabbitMQ:

Message Queue (MQ)

Apache Kafka

By The Apache Software Foundation

4.5/5

(126)

Product Description

Apache Kafka is an open-source distributed event streaming platform developed by the Apache Software Foundation. It is designed to handle real-time data feeds with high throughput and low latency, making it ideal for building data pipelines, streaming analytics, and integrating data across various systems. Kafka enables organizations to publish, store, and process streams of records in a fault-tolerant and scalable manner, supporting mission-critical applications across diverse industries. Key Features and Functionality: - High Throughput and Low Latency: Kafka delivers messages at network-limited throughput with latencies as low as 2 milliseconds, ensuring efficient data processing. - Scalability: It can scale production clusters up to thousands of brokers, handling trillions of messages per day and petabytes of data, while elastically expanding and contracting storage and processing capabilities. - Durable Storage: Kafka stores streams of data safely in a distributed, durable, and fault-tolerant cluster, ensuring data integrity and availability. - High Availability: The platform supports efficient stretching of clusters over availability zones and connects separate clusters across geographic regions, enhancing resilience. - Stream Processing: Kafka provides built-in stream processing capabilities through the Kafka Streams API, allowing for operations like joins, aggregations, filters, and transformations with event-time processing and exactly-once semantics. - Connectivity: With Kafka Connect, it integrates seamlessly with hundreds of event sources and sinks, including databases, messaging systems, and cloud storage services. Primary Value and Solutions Provided: Apache Kafka addresses the challenges of managing real-time data streams by offering a unified platform that combines messaging, storage, and stream processing. It enables organizations to: - Build Real-Time Data Pipelines: Facilitate the continuous flow of data between systems, ensuring timely and reliable data delivery. - Implement Streaming Analytics: Analyze and process data streams in real-time, allowing for immediate insights and actions. - Ensure Data Integration: Seamlessly connect various data sources and sinks, promoting a cohesive data ecosystem. - Support Mission-Critical Applications: Provide a robust and fault-tolerant infrastructure capable of handling high-volume and high-velocity data, essential for critical business operations. By leveraging Kafka's capabilities, organizations can modernize their data architectures, enhance operational efficiency, and drive innovation through real-time data processing and analytics.

Reviewers say compared to RabbitMQ, Apache Kafka is:

More expensive

Better at meeting requirements

Easier to do business with

Categories in common with RabbitMQ:

Message Queue (MQ)

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