Top 10 Red Hat AMQ Alternatives & Competitors

Top 10 Alternatives to Red Hat AMQ Recently Reviewed By G2 Community

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MuleSoft Anypoint Platform
By Salesforce
4.5/5
(741)
Product Description
Anypoint Platform™ is a complete platform that lets companies realize business transformation through API-led connectivity. It is is a unified, flexible integration platform that solves the most challenging connectivity problems across SOA, SaaS and APIs.
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Reviewers say compared to Red Hat AMQ, MuleSoft Anypoint Platform is:
Better at meeting requirements
More expensive
More usable
Categories in common with Red Hat AMQ:
Message Queue (MQ)

IBM MQ
By IBM
4.3/5
(174)
Product Description
IBM® MQ, formerly WebSphere MQ, is messaging middleware that simplifies and accelerates the integration of diverse applications and data across multiple platforms. It uses message queues to exchange information and offers a single messaging solution for cloud, on premise, mobile and IoT environments. By connecting virtually everything, from a simple pair of applications to the most complex business environments, it improves responsiveness, controls costs, reduces risk and provides real-time insight from data. It is available in a standard edition, an advanced edition, as an appliance and in a z/OS version.
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Reviewers say compared to Red Hat AMQ, IBM MQ is:
Better at meeting requirements
More expensive
Better at support
Categories in common with Red Hat AMQ:
Message Queue (MQ)

SAP Integration Suite
By SAP
4.3/5
(339)
Product Description
SAP Integration Suite powers applications that deliver real-time insights to drive more effective and timely decision making. Dramatically accelerate analytics, business processes, sentiment data processing, and predictive capabilities to run your business in real-time.
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Reviewers say compared to Red Hat AMQ, SAP Integration Suite is:
More expensive
Better at meeting requirements
Better at support
Categories in common with Red Hat AMQ:
Message Queue (MQ)

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Apache Kafka
By The Apache Software Foundation
4.5/5
(131)
Product Description
Apache Kafka is an open-source distributed event streaming platform developed by the Apache Software Foundation. It is designed to handle real-time data feeds with high throughput and low latency, making it ideal for building data pipelines, streaming analytics, and integrating data across various systems. Kafka enables organizations to publish, store, and process streams of records in a fault-tolerant and scalable manner, supporting mission-critical applications across diverse industries. Key Features and Functionality: - High Throughput and Low Latency: Kafka delivers messages at network-limited throughput with latencies as low as 2 milliseconds, ensuring efficient data processing. - Scalability: It can scale production clusters up to thousands of brokers, handling trillions of messages per day and petabytes of data, while elastically expanding and contracting storage and processing capabilities. - Durable Storage: Kafka stores streams of data safely in a distributed, durable, and fault-tolerant cluster, ensuring data integrity and availability. - High Availability: The platform supports efficient stretching of clusters over availability zones and connects separate clusters across geographic regions, enhancing resilience. - Stream Processing: Kafka provides built-in stream processing capabilities through the Kafka Streams API, allowing for operations like joins, aggregations, filters, and transformations with event-time processing and exactly-once semantics. - Connectivity: With Kafka Connect, it integrates seamlessly with hundreds of event sources and sinks, including databases, messaging systems, and cloud storage services. Primary Value and Solutions Provided: Apache Kafka addresses the challenges of managing real-time data streams by offering a unified platform that combines messaging, storage, and stream processing. It enables organizations to: - Build Real-Time Data Pipelines: Facilitate the continuous flow of data between systems, ensuring timely and reliable data delivery. - Implement Streaming Analytics: Analyze and process data streams in real-time, allowing for immediate insights and actions. - Ensure Data Integration: Seamlessly connect various data sources and sinks, promoting a cohesive data ecosystem. - Support Mission-Critical Applications: Provide a robust and fault-tolerant infrastructure capable of handling high-volume and high-velocity data, essential for critical business operations. By leveraging Kafka's capabilities, organizations can modernize their data architectures, enhance operational efficiency, and drive innovation through real-time data processing and analytics.
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Reviewers say compared to Red Hat AMQ, Apache Kafka is:
Better at meeting requirements
More usable
Better at support
Categories in common with Red Hat AMQ:
Message Queue (MQ)

Apache ActiveMQ
By The Apache Software Foundation
4.3/5
(16)
Product Description
Apache ActiveMQ is a popular and powerful open source messaging and Integration Patterns server.
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Reviewers say compared to Red Hat AMQ, Apache ActiveMQ is:
Better at meeting requirements
More usable
Categories in common with Red Hat AMQ:
Message Queue (MQ)

Azure Logic Apps
By Microsoft
4.3/5
(103)
Product Description
Azure Logic Apps is a cloud-based integration platform as a service (iPaaS) that enables organizations to automate and orchestrate workflows, integrating applications, data, systems, and services across enterprises or organizations. It provides a visual designer for building workflows without writing code, facilitating the creation of complex processes that connect disparate systems seamlessly. Key Features and Functionality: - Extensive Connector Library: Offers over 1,400 pre-built connectors for various services, including Salesforce, Office 365, SQL Server, and SAP, allowing easy integration with both cloud-based and on-premises applications. - Visual Workflow Designer: Provides a drag-and-drop interface for designing workflows, enabling users to build and manage processes without extensive coding knowledge. - Hybrid Connectivity: Supports integration across cloud and on-premises environments, ensuring secure and efficient data flow between systems. - Scalability and Reliability: Built on Azure's robust infrastructure, Logic Apps ensures high availability and scalability to meet varying business demands. - AI Integration: Facilitates the incorporation of AI capabilities into workflows through connectors like Azure OpenAI and Azure AI Search, enabling intelligent automation and decision-making processes. Primary Value and Solutions Provided: Azure Logic Apps addresses the challenge of integrating diverse systems and automating complex workflows without the need for extensive coding. By offering a comprehensive set of connectors and a user-friendly design interface, it empowers organizations to streamline operations, enhance productivity, and respond swiftly to changing business needs. The platform's scalability and hybrid connectivity ensure that businesses can build resilient and adaptable integration solutions, facilitating seamless communication between various applications and services.
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Reviewers say compared to Red Hat AMQ, Azure Logic Apps is:
Better at meeting requirements
Better at support
More expensive
Categories in common with Red Hat AMQ:
Message Queue (MQ)

Lobster Data Platform
By Lobster Data GmbH
4.6/5
(104)
Product Description
Lobster is a no-code data integration platform and suite of ready-to-use data products that simplify how businesses connect systems, automate processes, and manage data across their operations. With drag-and-drop tools and pre-built connectors, users can integrate ERPs, CRMs, logistics platforms, and more—without writing code. Whether you’re streamlining e-invoicing, enhancing supply chain visibility, or replacing manual workflows, Lobster delivers speed, scalability, and compliance out of the box. Trusted by leading companies across Europe, Lobster empowers both IT and business teams to unlock real-time insights, reduce complexity, and accelerate digital transformation—fast.
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Reviewers say compared to Red Hat AMQ, Lobster Data Platform is:
Better at meeting requirements
Better at support
More expensive
Categories in common with Red Hat AMQ:
Message Queue (MQ)

meshIQ
By meshIQ
4.6/5
(98)
Product Description
meshIQ is the industry’s first observability and management platform for integration middleware.
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Reviewers say compared to Red Hat AMQ, meshIQ is:
More expensive
Better at meeting requirements
Better at support
Categories in common with Red Hat AMQ:
Message Queue (MQ)

HiveMQ
By HiveMQ
4.5/5
(84)
Product Description
HiveMQ provides the most trusted IoT data streaming platform, built on MQTT, to power a reliable, scalable, and AI-ready data backbone. It allows businesses to connect, stream, and govern their data in real-time across OT and IT systems for advanced analytics, predictive maintenance, and digital transformation.
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Reviewers say compared to Red Hat AMQ, HiveMQ is:
Better at meeting requirements
More expensive
Better at support
Categories in common with Red Hat AMQ:
Message Queue (MQ)