Best Message-Oriented Middleware for Netdata

Compare the Top Message-Oriented Middleware that integrates with Netdata as of July 2025

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This a list of Message-Oriented Middleware that integrates with Netdata. Use the filters on the left to add additional filters for products that have integrations with Netdata. View the products that work with Netdata in the table below.

What is Message-Oriented Middleware for Netdata?

Message-oriented middleware (MOM) is software that provides an interoperable interface between multiple applications. It enables applications to communicate with one another, regardless of their underlying technologies. Applications using MOM can send and receive messages across a variety of networks and transport protocols such as HTTP, TCP/IP, and SMTP. These messages can be either synchronous or asynchronous, allowing for real-time interactions or delayed messaging without the need for complex programming code. MOM also facilitates remote access through a centralized system making it easier to manage in distributed environments. Additionally, since it is independent of the application architecture, MOM offers increased flexibility when integrating different platforms together. Compare and read user reviews of the best Message-Oriented Middleware for Netdata currently available using the table below. This list is updated regularly.

1

RabbitMQ

RabbitMQ

RabbitMQ is lightweight and easy to deploy on-premises and in the cloud. It supports multiple messaging protocols. RabbitMQ can be deployed in distributed and federated configurations to meet high-scale, high-availability requirements. With tens of thousands of users, RabbitMQ is one of the most popular open-source message brokers. From T-Mobile to Runtastic, RabbitMQ is used worldwide at small startups and large enterprises. RabbitMQ is lightweight and easy to deploy on-premises and in the cloud. It supports multiple messaging protocols. RabbitMQ can be deployed in distributed and federated configurations to meet high-scale, high-availability requirements. RabbitMQ runs on many operating systems and cloud environments and provides a wide range of developer tools for most popular languages. Deploy with Kubernetes, BOSH, Chef, Docker and Puppet. Develop cross-language messaging with favorite programming languages such as Java, .NET, PHP, Python, JavaScript, Ruby, Go, etc.

1 Rating

Starting Price: Free

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2

Apache Kafka

The Apache Software Foundation

Apache Kafka® is an open-source, distributed streaming platform. Scale production clusters up to a thousand brokers, trillions of messages per day, petabytes of data, hundreds of thousands of partitions. Elastically expand and contract storage and processing. Stretch clusters efficiently over availability zones or connect separate clusters across geographic regions. Process streams of events with joins, aggregations, filters, transformations, and more, using event-time and exactly-once processing. Kafka’s out-of-the-box Connect interface integrates with hundreds of event sources and event sinks including Postgres, JMS, Elasticsearch, AWS S3, and more. Read, write, and process streams of events in a vast array of programming languages.

1 Rating

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3

Eclipse Mosquitto

Eclipse Foundation

Eclipse Mosquitto is an open source (EPL/EDL licensed) message broker that implements the MQTT protocol versions 5.0, 3.1.1 and 3.1. Mosquitto 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. The Mosquitto project also provides a C library for implementing MQTT clients, and the very popular mosquitto_pub and mosquitto_sub command line MQTT clients.

Starting Price: Free

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4

Apache Pulsar

Apache Software Foundation

Apache Pulsar is a cloud-native, distributed messaging and streaming platform originally created at Yahoo! and now a top-level Apache Software Foundation project. Easy to deploy, lightweight compute process, developer-friendly APIs, no need to run your own stream processing engine. Run in production at Yahoo! scale for over 5 years, with millions of messages per second across millions of topics. Built from the ground up as a multi-tenant system. Supports isolation, authentication, authorization and quotas. Configurable replication between data centers across multiple geographic regions. Persistent message storage based on Apache BookKeeper. IO-level isolation between write and read operations. Rest admin API for provisioning, administration, tools and monitoring.

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