Top 10 MQ Manager Alternatives & Competitors

Looking for alternatives or competitors to MQ Manager? Other important factors to consider when researching alternatives to MQ Manager include reliability and ease of use. The best overall MQ Manager alternative is MuleSoft Anypoint Platform. Other similar apps like MQ Manager are IBM MQ, Apache Kafka, Azure Logic Apps, and Lobster Data Platform. MQ Manager alternatives can be found in Message Queue (MQ) Software but may also be in iPaaS Software or Event Stream Processing Software.

Show Less

Best Paid & Free Alternatives to MQ Manager

MuleSoft Anypoint Platform
IBM MQ
Apache Kafka
Azure Logic Apps
Lobster Data Platform
meshIQ
Hookdeck
Ably Realtime

Top 10 Alternatives to MQ Manager Recently Reviewed By G2 Community

Browse options below. Based on reviewer data, you can see how MQ Manager stacks up to the competition and find the best product for your business.

MuleSoft Anypoint Platform

By Salesforce

4.4/5

(713)

Product Description

Categories in common with MQ Manager:

By IBM

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.

Categories in common with MQ Manager:

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.

Categories in common with MQ Manager:

Message Queue (MQ)

You’re Seeing Part of the StoryLog in or create an account to access the full set of alternatives.

Create a Free Account

Lobster Data Platform

By Lobster Data GmbH

4.6/5

(98)

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.

Categories in common with MQ Manager:

By meshIQ

Product Description

Categories in common with MQ Manager:

By Hookdeck

Product Description

Hookdeck is a prebuilt webhook infrastructure that gives developers the tooling they need to monitor and troubleshoot all their inbound asynchronous events. Once integrated, Hookdeck unlocks a suite of tools for developers to manage their webhooks – alerting, rate limiting, automatic retries, one-to-many delivery, payload transformations, local testing via the CLI, a robust API, and more – so developers can spend less time maintaining their event infrastructure and more time building the features their users love.

Categories in common with MQ Manager:

Message Queue (MQ)