Best Message Queue Software for Lightstreamer

Find and compare the best Message Queue software for Lightstreamer in 2025

Use the comparison tool below to compare the top Message Queue software for Lightstreamer on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

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    Apache Kafka Reviews

    Apache Kafka

    The Apache Software Foundation

    1 Rating
    Apache Kafka® is a robust, open-source platform designed for distributed streaming. It can scale production environments to accommodate up to a thousand brokers, handling trillions of messages daily and managing petabytes of data with hundreds of thousands of partitions. The system allows for elastic growth and reduction of both storage and processing capabilities. Furthermore, it enables efficient cluster expansion across availability zones or facilitates the interconnection of distinct clusters across various geographic locations. Users can process event streams through features such as joins, aggregations, filters, transformations, and more, all while utilizing event-time and exactly-once processing guarantees. Kafka's built-in Connect interface seamlessly integrates with a wide range of event sources and sinks, including Postgres, JMS, Elasticsearch, AWS S3, among others. Additionally, developers can read, write, and manipulate event streams using a diverse selection of programming languages, enhancing the platform's versatility and accessibility. This extensive support for various integrations and programming environments makes Kafka a powerful tool for modern data architectures.
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    IBM MQ Reviews
    Massive amounts data can be moved as messages between services, applications and systems at any one time. If an application isn’t available or a service interruption occurs, messages and transactions may be lost or duplicated. This can cost businesses time and money. IBM has refined IBM MQ over the past 25 years. MQ allows you to hold a message in a queue until it is delivered. MQ moves data once, even file data, to avoid competitors delivering messages twice or not at the right time. MQ will never lose a message. IBM MQ can be run on your mainframe, in containers, in public or private clouds or in containers. IBM offers an IBM-managed cloud service (IBM MQ Cloud), hosted on Amazon Web Services or IBM Cloud, as well as a purpose-built Appliance (IBM MQ Appliance), to simplify deployment and maintenance.
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    IBM MQ on Cloud Reviews
    IBM® MQ on Cloud represents the pinnacle of enterprise messaging solutions, ensuring secure and dependable communication both on-premises and across various cloud environments. By utilizing IBM MQ on Cloud as a managed service, organizations can benefit from IBM's management of upgrades, patches, and numerous operational tasks, which allows teams to concentrate on integrating it with their applications. For instance, if your company operates a mobile application in the cloud to streamline e-commerce transactions, IBM MQ on Cloud can effectively link the on-premises inventory management system with the consumer-facing app, offering users immediate updates regarding product availability. While your core IT infrastructure is located in San Francisco, the processing of packages occurs in a facility situated in London. IBM MQ on Cloud ensures that messages are transmitted reliably between these two locations. It enables the London office to securely encrypt and send data regarding each package that requires tracking, while allowing the San Francisco office to receive and manage that information with enhanced security measures. Both locations can confidently rely on the integrity of the information exchanged, ensuring that it remains intact and accessible. This level of communication is crucial for maintaining operational efficiency and trust across global business functions.
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    ActiveMQ Reviews

    ActiveMQ

    Apache Software Foundation

    Apache ActiveMQ® stands out as the leading open-source, multi-protocol message broker built on Java. It accommodates widely accepted protocols, allowing users to take advantage of diverse client options across various programming languages and platforms. Clients can connect using languages such as JavaScript, C, C++, Python, .Net, and more. The integration of multi-platform applications is made seamless with the widely-used AMQP protocol. Furthermore, web applications can communicate effectively through the STOMP protocol over websockets. ActiveMQ also facilitates the management of IoT devices by leveraging MQTT. It not only supports existing JMS infrastructures but also extends beyond them, providing the robustness and adaptability necessary for any messaging scenario. Presently, there are two distinct versions of ActiveMQ: the traditional "classic" broker and the innovative "next generation" broker known as Artemis. As Artemis develops to match the feature set of the Classic code-base, it is set to evolve into the next major release of ActiveMQ. Initial documentation for migration is accessible, along with a development roadmap outlining the future of Artemis, ensuring users have the guidance they need for a smooth transition. This evolution signifies a commitment to continual improvement and adaptation in a rapidly changing technological landscape.
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