Best Event Brokers for Rocket Data Replicate & Sync

Compare the Top Event Brokers that integrate with Rocket Data Replicate & Sync as of August 2026

This a list of Event Brokers that integrate with Rocket Data Replicate & Sync. Use the filters on the left to add additional filters for products that have integrations with Rocket Data Replicate & Sync. View the products that work with Rocket Data Replicate & Sync in the table below.

What are Event Brokers for Rocket Data Replicate & Sync?

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 Rocket Data Replicate & Sync currently available using the table below. This list is updated regularly.

  • 1
    Apache Kafka

    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.
  • 2
    Amazon MQ
    Amazon MQ is a managed message broker service for Apache ActiveMQ that makes it easy to set up and operate message brokers in the cloud. Message brokers allow different software systems–often using different programming languages, and on different platforms–to communicate and exchange information. Amazon MQ reduces your operational load by managing the provisioning, setup, and maintenance of ActiveMQ, a popular open-source message broker. Connecting your current applications to Amazon MQ is easy because it uses industry-standard APIs and protocols for messaging, including JMS, NMS, AMQP, STOMP, MQTT, and WebSocket. Using standards means that in most cases, there’s no need to rewrite any messaging code when you migrate to AWS. With a few clicks in the Amazon MQ Console, Amazon MQ provisions your broker with support for version upgrades, so you can always use the latest version that Amazon MQ supports. Once you configure your broker, your applications can produce and consume messages.
  • 3
    Azure Event Hubs
    Event Hubs is a fully managed, real-time data ingestion service that’s simple, trusted, and scalable. Stream millions of events per second from any source to build dynamic data pipelines and immediately respond to business challenges. Keep processing data during emergencies using the geo-disaster recovery and geo-replication features. Integrate seamlessly with other Azure services to unlock valuable insights. Allow existing Apache Kafka clients and applications to talk to Event Hubs without any code changes—you get a managed Kafka experience without having to manage your own clusters. Experience real-time data ingestion and microbatching on the same stream. Focus on drawing insights from your data instead of managing infrastructure. Build real-time big data pipelines and respond to business challenges right away.
    Starting Price: $0.03 per hour
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