Best Event Brokers for DataHub
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Compare the Top Event Brokers that integrate with DataHub as of October 2025
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This a list of Event Brokers that integrate with DataHub. Use the filters on the left to add additional filters for products that have integrations with DataHub. View the products that work with DataHub in the table below.
What are Event Brokers for DataHub?
Event brokers are middleware platforms that manage the flow of events between different systems or applications in an event-driven architecture (EDA). These brokers facilitate the decoupling of event producers and consumers by handling the publishing, routing, and consumption of events in real time. They allow systems to asynchronously process and respond to events such as data changes, user actions, or external triggers without direct interaction between the components. Event brokers are often used in microservices architectures, IoT ecosystems, and real-time data processing systems to enable efficient and scalable communication. Compare and read user reviews of the best Event Brokers for DataHub 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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