Compare the Top Event Brokers that integrate with Beats as of July 2026

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

What are Event Brokers for Beats?

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 Beats currently available using the table below. This list is updated regularly.

  • 1
    RabbitMQ

    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.
    Starting Price: Free
  • 2
    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.
  • 3
    Aiven

    Aiven

    Aiven

    Aiven manages your open source data infrastructure in the cloud - so you don't have to. Developers can do what they do best: create applications. We do what we do best: manage cloud data infrastructure. All solutions are open source. You can also freely move data between clouds or create multi-cloud environments. Know exactly how much you’ll be paying and why. We bundle networking, storage and basic support costs together. We are committed to keeping your Aiven software online. If there’s ever an issue, we’ll be there to fix it. Deploy a service on the Aiven platform in 10 minutes. Sign up - no credit card info needed. Select your open source service, and the cloud and region to deploy to. Choose your plan - you have $300 in free credits. Click "Create service" and go on to configure your data sources. Stay in control of your data using powerful open-source services.
    Starting Price: $200.00 per month
  • 4
    IBM MQ
    Massive amounts of data move as messages between applications, systems and services at any given time. If an application isn’t ready or if there’s a service interruption, messages and transactions can be lost or duplicated, costing businesses time and money to make things right. IBM has expertly refined IBM MQ over 25 years on the market. With MQ, if a message can’t be delivered immediately, it’s secured in a queue, where it waits until delivery is assured. Where competitors may deliver messages twice or not at all, MQ moves data, including file data, once — and once only. Never lose a message with MQ. IBM MQ is available as software to run in public or private clouds, in containers or on your mainframe. IBM also offers an IBM-managed cloud service (IBM MQ on Cloud) hosted on IBM Cloud or Amazon, and even as a purpose-built Appliance (IBM MQ Appliance) to simplify deployment and maintenance.
  • 5
    Amazon Simple Queue Service (SQS)
    Amazon Simple Queue Service (SQS) is a fully managed message queuing service that enables you to decouple and scale microservices, distributed systems, and serverless applications. SQS eliminates the complexity and overhead associated with managing and operating message oriented middleware, and empowers developers to focus on differentiating work. Using SQS, you can send, store, and receive messages between software components at any volume, without losing messages or requiring other services to be available. Get started with SQS in minutes using the AWS console, Command Line Interface or SDK of your choice, and three simple commands. Use Amazon SQS to transmit any volume of data, at any level of throughput, without losing messages or requiring other services to be available. SQS lets you decouple application components so that they run and fail independently, increasing the overall fault tolerance of the system.
  • 6
    Amazon Simple Notification Service (SNS)
    Amazon Simple Notification Service (SNS) is a fully managed messaging service for both system-to-system and app-to-person (A2P) communication. It enables you to communicate between systems through publish/subscribe (pub/sub) patterns that enable messaging between decoupled microservice applications or to communicate directly to users via SMS, mobile push and email. The system-to-system pub/sub functionality provides topics for high-throughput, push-based, many-to-many messaging. Using Amazon SNS topics, your publisher systems can fanout messages to a large number of subscriber systems or customer endpoints including Amazon SQS queues, AWS Lambda functions and HTTP/S, for parallel processing. The A2P messaging functionality enables you to send messages to users at scale using either a pub/sub pattern or direct-publish messages using a single API.
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