Compare the Top Event Brokers that integrate with 5X as of October 2026

This a list of Event Brokers that integrate with 5X. Use the filters on the left to add additional filters for products that have integrations with 5X. View the products that work with 5X in the table below.

What are Event Brokers for 5X?

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 5X 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
    Azure Service Bus
    Depend on Service Bus when you need highly reliable cloud messaging service between applications and services even when they’re offline. Available in every Azure region, this fully managed service eliminates the burdens of server management and licensing. Get more flexibility when brokering messaging between client and server with asynchronous operations along with structured first-in, first-out (FIFO) messaging and publish/subscribe capabilities. Leverage the power of asynchronous messaging patterns to reliably scale your enterprise applications. Integrate cloud resources such as Azure SQL Database, Azure Storage, and Web Apps with Service Bus messaging to get smooth operation under variable loads and the durability to survive intermittent failures. Improve availability by building messaging topologies with complex routing. Use Service Bus to deliver messages to multiple subscribers and fan out message delivery at scale to downstream systems.
    Starting Price: $0.05 per million operations
  • 3
    Amazon MSK
    Amazon Managed Streaming for Apache Kafka (Amazon MSK) is a fully managed service that makes it easy for you to build and run applications that use Apache Kafka to process streaming data. Apache Kafka is an open-source platform for building real-time streaming data pipelines and applications. With Amazon MSK, you can use native Apache Kafka APIs to populate data lakes, stream changes to and from databases, and power machine learning and analytics applications. Apache Kafka clusters are challenging to setup, scale, and manage in production. When you run Apache Kafka on your own, you need to provision servers, configure Apache Kafka manually, replace servers when they fail, orchestrate server patches and upgrades, architect the cluster for high availability, ensure data is durably stored and secured, setup monitoring and alarms, and carefully plan scaling events to support load changes.
    Starting Price: $0.0543 per hour
  • 4
    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
  • 5
    Confluent

    Confluent

    Confluent

    Infinite retention for Apache Kafka® with Confluent. Be infrastructure-enabled, not infrastructure-restricted Legacy technologies require you to choose between being real-time or highly-scalable. Event streaming enables you to innovate and win - by being both real-time and highly-scalable. Ever wonder how your rideshare app analyzes massive amounts of data from multiple sources to calculate real-time ETA? Ever wonder how your credit card company analyzes millions of credit card transactions across the globe and sends fraud notifications in real-time? The answer is event streaming. Move to microservices. Enable your hybrid strategy through a persistent bridge to cloud. Break down silos to demonstrate compliance. Gain real-time, persistent event transport. The list is endless.
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