Best Message-Oriented Middleware for RudderStack
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Compare the Top Message-Oriented Middleware that integrates with RudderStack as of February 2026
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This a list of Message-Oriented Middleware that integrates with RudderStack. Use the filters on the left to add additional filters for products that have integrations with RudderStack. View the products that work with RudderStack in the table below.
What is Message-Oriented Middleware for RudderStack?
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 RudderStack currently available using the table below. This list is updated regularly.
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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. -
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Google Cloud Pub/Sub
Google
Google Cloud Pub/Sub. Scalable, in-order message delivery with pull and push modes. Auto-scaling and auto-provisioning with support from zero to hundreds of GB/second. Independent quota and billing for publishers and subscribers. Global message routing to simplify multi-region systems. High availability made simple. Synchronous, cross-zone message replication and per-message receipt tracking ensure reliable delivery at any scale. No planning, auto-everything. Auto-scaling and auto-provisioning with no partitions eliminate planning and ensures workloads are production-ready from day one. Advanced features, built in. Filtering, dead-letter delivery, and exponential backoff without sacrificing scale help simplify your applications. A fast, reliable way to land small records at any volume, an entry point for real-time and batch pipelines feeding BigQuery, data lakes and operational databases. Use it with ETL/ELT pipelines in Dataflow. -
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Amazon EventBridge
Amazon
Amazon EventBridge is a serverless event bus that makes it easy to connect applications together using data from your own applications, integrated Software-as-a-Service (SaaS) applications, and AWS services. EventBridge delivers a stream of real-time data from event sources, such as Zendesk, Datadog, or Pagerduty, and routes that data to targets like AWS Lambda. You can set up routing rules to determine where to send your data to build application architectures that react in real time to all of your data sources. EventBridge makes it easy to build event-driven applications because it takes care of event ingestion and delivery, security, authorization, and error handling for you. As your applications become more interconnected through events, you need to spend more effort to find events and understand their structure in order to write code to react to those events.
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