Top 10 IBM MQ Alternatives & Competitors

Top 10 Alternatives to IBM MQ Recently Reviewed By G2 Community

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MuleSoft Anypoint Platform
By Salesforce
4.5/5
(713)
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 IBM MQ, MuleSoft Anypoint Platform is:
Easier to set up
More usable
Easier to admin
Categories in common with IBM MQ:
Message Queue (MQ)

Apache Kafka
By The Apache Software Foundation
4.5/5
(126)
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 IBM MQ, Apache Kafka is:
More usable
Better at meeting requirements
Categories in common with IBM MQ:
Message Queue (MQ)

RabbitMQ
By Broadcom
4.1/5
(47)
Product Description
Messaging that just works
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Reviewers say compared to IBM MQ, RabbitMQ is:
Easier to admin
Easier to set up
More usable
Categories in common with IBM MQ:
Message Queue (MQ)
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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 IBM MQ, Apache ActiveMQ is:
More usable
Better at meeting requirements
Categories in common with IBM MQ:
Message Queue (MQ)

Amazon MQ
By Amazon Web Services (AWS)
3.6/5
(18)
Product Description
Amazon MQ is a managed message broker service for Apache ActiveMQ that makes it easy to set up and operate message brokers in the cloud.
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Reviewers say compared to IBM MQ, Amazon MQ is:
Easier to admin
Better at support
Categories in common with IBM MQ:
Message Queue (MQ)

Quantive StrategyAI
By WorkBoard
4.6/5
(203)
Product Description
Quantive Results is a strategy execution platform that embeds strategic business planning, priorities, and progress into the fabric of the day-to-day, providing greater focus, alignment, and transparency.​
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Reviewers say compared to IBM MQ, Quantive StrategyAI is:
Better at support
Easier to admin
Easier to do business with
Categories in common with IBM MQ:
Business Activity Monitoring

TIBCO Messaging
By Cloud Software Group
4.4/5
(42)
Product Description
Today, data distribution for enterprise, cloud, mobile, and IoT throughout your organization is a crucial part of your digital infrastructure. For more than 25 years, TIBCO has led the industry in high-performance messaging technology, and today we offer the most comprehensive messaging portfolio available to meet a wide variety of use cases and deployment models. TIBCO Messaging is the foundation of the TIBCO Connected Intelligence platform, capitalizing on data in real time wherever it is, and making it available to applications that drive action based on analytical insights. If you are looking for the best in messaging, you've come to the right place.
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Reviewers say compared to IBM MQ, TIBCO Messaging is:
Easier to admin
More usable
Easier to do business with
Categories in common with IBM MQ:
Message Queue (MQ)

Azure Logic Apps
By Microsoft
4.3/5
(102)
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 IBM MQ, Azure Logic Apps is:
Slower to reach roi
Easier to admin
Easier to do business with
Categories in common with IBM MQ:
Message Queue (MQ)

Red Hat AMQ
By Red Hat
4.2/5
(16)
Product Description
To respond to business demands quickly and efficiently, you need a way to integrate applications and data spread across your enterprise. Red Hat AMQ—based on open source communities like Apache ActiveMQ and Apache Kafka—is a flexible messaging platform that delivers information reliably, enabling real-time integration and connecting the Internet of Things (IoT).
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Categories in common with IBM MQ:
Message Queue (MQ)

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