


Find out what your peers are saying about IBM, Apache, Amazon Web Services (AWS) and others in Message Queue (MQ) Software.
| Product | Mindshare (%) |
|---|---|
| ActiveMQ | 22.0% |
| IBM MQ | 22.7% |
| Red Hat AMQ | 8.4% |
| Other | 46.9% |
| Product | Mindshare (%) |
|---|---|
| Apache Kafka | 4.2% |
| Apache Flink | 10.9% |
| Databricks | 9.0% |
| Other | 75.9% |
| Product | Mindshare (%) |
|---|---|
| PubSub+ Platform | 2.0% |
| ServiceNow IT Operations Management | 11.8% |
| OpsRamp | 9.4% |
| Other | 76.8% |

| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 4 |
| Large Enterprise | 17 |
| Company Size | Count |
|---|---|
| Small Business | 32 |
| Midsize Enterprise | 18 |
| Large Enterprise | 49 |
| Company Size | Count |
|---|---|
| Small Business | 4 |
| Midsize Enterprise | 1 |
| Large Enterprise | 14 |
Apache ActiveMQ is the most popular and powerful open source messaging and Integration Patterns server.
Apache ActiveMQ is fast, supports many Cross Language Clients and Protocols, comes with easy to use Enterprise Integration Patterns and many advanced features while fully supporting JMS 1.1 and J2EE 1.4. Apache ActiveMQ is released under the Apache 2.0 License
Apache Kafka is an open-source distributed streaming platform that serves as a central hub for handling real-time data streams. It allows efficient publishing, subscribing, and processing of data from various sources like applications, servers, and sensors.
Kafka's core benefits include high scalability for big data pipelines, fault tolerance ensuring continuous operation despite node failures, low latency for real-time applications, and decoupling of data producers from consumers.
Key features include topics for organizing data streams, producers for publishing data, consumers for subscribing to data, brokers for managing clusters, and connectors for easy integration with various data sources.
Large organizations use Kafka for real-time analytics, log aggregation, fraud detection, IoT data processing, and facilitating communication between microservices.
PubSub+ Platform is designed for real-time message publishing and outstanding interoperability. With features like intuitive administration and topic filtering, it offers both stability and high performance for scalable deployments across diverse scenarios.
PubSub+ Platform enhances data integration with its event mesh and seamless protocol compatibility, providing a comprehensive solution for organizations tracking shipments, generating reports, and managing transactions. Its granular topic filtering and WAN optimization ensure high utility in event-driven applications and cloud deployments. Users highlight the platform's intuitive administration and ease of management, though some seek improved integration with third-party tools and enhanced observability. Concerns include scalability for large payloads and training resource availability. Despite its interface complexity, PubSub+ remains valuable for trading and market data distribution.
What are the key features of PubSub+ Platform?PubSub+ Platform is widely implemented for asynchronous messaging in industries like finance for trading and market data, logistics for shipment tracking, and tech operations management. It enables companies to modernize applications while ensuring data accuracy and efficiency across global systems.