Best Message Queue Software - Page 2

Innovative and modern message queue and message broker in a lightweight container developed to run in Kubernetes, certified in the CNCF landscape and connect natively to the cloud-native ecosystem. A message broker and message queue ideal for developers. Provides all messaging patterns, scalable, highly available, and secure. Connect microservices instantly using a rich set of connectors without writing any code. Easy-to-use SDKs and elimination of predefined topics, channels, brokers, and routes. Build & Deploy allows configurations of KubeMQ components to be built with a few clicks and deployed with kubectl command line. Innovative and modern message queue and message broker in a lightweight container developed to run in Kubernetes, certified in the CNCF landscape, and connect natively to the cloud-native ecosystem. Simple deployment in Kubernetes in less than 1 minute. Developer friendly by simple to use SDKs and elimination of the many developers and DevOps-centered challenges.

Apache ActiveMQ® is the most popular open source, multi-protocol, Java-based message broker. It supports industry standard protocols so users get the benefits of client choices across a broad range of languages and platforms. Connect from clients written in JavaScript, C, C++, Python, .Net, and more. Integrate your multi-platform applications using the ubiquitous AMQP protocol. Exchange messages between your web applications using STOMP over websockets. Manage your IoT devices using MQTT. Support your existing JMS infrastructure and beyond. ActiveMQ offers the power and flexibility to support any messaging use-case. There are currently two "flavors" of ActiveMQ available - the well-known "classic" broker and the "next generation" broker code-named Artemis. Once Artemis reaches a sufficient level of feature parity with the "Classic" code-base it will become the next major version of ActiveMQ. Initial migration documentation is available as well as a development roadmap for Artemis.

CMQ can efficiently send/receive and push tens of millions of messages and retain an unlimited number of messages. It features an extremely high throughput and can process over 100,000 queries per second (QPS) with one single cluster, fully meeting the messaging needs of your businesses. When each message is returned to the user, CMQ writes three copies of the message data to different physical servers so that when one of the servers fails, the backend data replication mechanism can quickly migrate the data. CMQ supports HTTPS-based secure access and utilizes Tencent Cloud's multi-dimensional security protection to defend against network attacks and protect the privacy of your businesses. Plus, it supports managing master/sub-accounts and collaborator accounts for fine-grained resource access control.

IBM Event Streams is a fully managed event platform built on Apache Kafka, designed to help enterprises process and respond to real-time data streams. With capabilities for machine learning integration, high availability, and secure cloud deployment, it enables organizations to create intelligent applications that react to events as they happen. The platform supports multi-cloud environments, disaster recovery, and geo-replication, making it ideal for mission-critical workloads. IBM Event Streams simplifies building and scaling real-time, event-driven solutions, ensuring data is processed quickly and efficiently.

Enterprises running real-time web and mobile apps struggle with latency, bandwidth, and scalability issues, which negatively impact the total cost of ownership as well as the real-time experience of their users. These issues are inherent to the traditional techniques, such as HTTP polling or long polling, employed to achieve real-time communication using web and application servers. To overcome these issues, we created MigratoryData, a real-time messaging technology leveraging the WebSockets standard, data to and from users over persistent WebSocket connections in milliseconds and with minimal traffic overhead. Unlike other real-time messaging technologies, MigratoryData has been designed to scale to a large number of users. It has been benchmarked to stream real-time data to 10 million concurrent users from a single commodity server.

Baidu Messaging System (BMS) is a distributed and scalable hosting message queue service with high throughputs. It collects massive data from websites, devices, or applications for real-time analysis, such as user browsing, clicks, and searches. BMS is a hosted service based on Apache Kafka. Kafka is a distributed, multi-partition, and multi-replica messaging service. The producer asynchronously interacts with the consumer through the message queue without waiting for each other. Compared with the traditional messaging service. BMS encapsulates the Kafka cluster details and provides them in the form of a hosted service. You can directly use BMS to integrate with massively distributed applications without the consideration of cluster operations and pay-per-use only.

TIBCO delivers industrial-strength solutions that meet your performance, throughput, reliability, and scalability needs while offering a wide range of technology and deployment options to deliver real-time data where it’s needed most. The TIBCO Platform will bring together an evolving set of your TIBCO solutions wherever they are hosted—in the cloud, on-premises, and at the edge—into a single, unified experience so that you can more easily manage and monitor them. TIBCO helps build solutions that are essential to the success of the world’s largest enterprises.

​FairCom MQ combines the benefits of an MQTT broker with the reliability of a dedicated embedded database. Its core persistence layer guarantees safe data transfer between subscribers and publishers, while the no-code configuration capabilities allow easy cross-communication for app development and IoT devices. FairCom MQ frees your data, allowing you to easily gather, push, and pull data wherever you need. You can add new processing capabilities without affecting existing integrations using FairCom MQ’s messaging systems, easily sending your data wherever needed. With guaranteed delivery, even when devices go offline, using MQ’s embedded database, and store-and-forward capabilities means you never miss a message. Eliminate bottlenecks and improve decision-making with parallel processing’s real-time monitoring and notifications between applications. Easily run our plug-and-play broker with simple JSON configurations to keep operations accessible.

ejabberd XMPP server simplifies critical administration and key usage statistics through an easy-to-use and customizable management module for administrators. ejabberd XMPP server statistics module is compatible with Nagios, the industry standard IT infrastructure monitoring tool. ejabberd XMPP server supports more interaction with the browser and the web app, facilitating real-time messaging. The use of WebSockets provides the ability to seamlessly send and receive messages while a browser tab is opened. BOSH capability is provided as a fallback for XMPP server connection. ejabberd XMPP server mobile reliability layer helps manage mobile network’s disconnection, message deliveries, consistent conversation on any online device, IoT, chat server, IM service, push notification and mobile interfaces.

Apache RocketMQ™ is a unified messaging engine, lightweight data processing platform. Financial-grade stability, widely used in transaction core links. Seamless connection to surrounding ecosystems such as microservices, real-time computing, and data lakes. Configurable, low-code way to integrate data, can establish connection with any system, can be used to build ETL, data pipeline, data lake, etc. Stream computing engine that provides light weight, high scalability, high performance and rich functions. Rich message type support and message governance methods to meet serverless application scenarios with message granularity load balancing. Apache RocketMQ has been widely adopted by many enterprise developers and cloud vendors due to its simple architecture, rich business functions, and strong scalability.

Apache Pulsar is a cloud-native, distributed messaging and platform originally created at Yahoo! and now a top-level Apache Software Foundation project. Easy to deploy, lightweight compute process, developer-friendly APIs, no need to run your own stream processing engine. Run in production at Yahoo! scale for over 5 years, with millions of messages per second across millions of topics. Built from the ground up as a multi-tenant system. Supports isolation, authentication, authorization and quotas. Configurable replication between data centers across multiple geographic regions. Persistent message storage based on Apache BookKeeper. IO-level isolation between write and read operations. Rest admin API for provisioning, administration, tools and monitoring.