# Best Message Queue (MQ) Software for Small Business *By [Tian Lin](https://research.g2.com/insights/author/tian-lin)* Products classified in the overall Message Queue (MQ) category are similar in many regards and help companies of all sizes solve their business problems. However, small business features, pricing, setup, and installation differ from businesses of other sizes, which is why we match buyers to the right Small Business Message Queue (MQ) to fit their needs. Compare product ratings based on reviews from enterprise users or connect with one of G2's buying advisors to find the right solutions within the Small Business Message Queue (MQ) category. In addition to qualifying for inclusion in the Message Queue (MQ) Software category, to qualify for inclusion in the Small Business Message Queue (MQ) Software category, a product must have at least 10 reviews left by a reviewer from a small business. ## Top Message Queue (MQ) Software at a Glance | # | Product | Rating | Best For | What Users Say | |---|---------|--------|----------|----------------| | 1 | [MuleSoft Anypoint Platform](https://www.g2.com/products/mulesoft-anypoint-platform/reviews) | 4.5/5.0 (646 reviews) | Async enterprise integration with API-led queuing | "[MuleSoft Transformed Our Enterprise Integration Strategy](https://www.g2.com/survey_responses/mulesoft-anypoint-platform-review-12970265)" | | 2 | [IBM MQ](https://www.g2.com/products/ibm-mq/reviews) | 4.3/5.0 (159 reviews) | Guaranteed-delivery messaging across heterogeneous enterprise systems | "[The tried and true workhorse of medium to high volume message queueing & processing](https://www.g2.com/survey_responses/ibm-mq-review-12027308)" | | 3 | [HiveMQ](https://www.g2.com/products/hivemq/reviews) | 4.5/5.0 (87 reviews) | High-throughput MQTT brokering for large-scale IoT | "[Reliable MQTT Sessions and Outstanding App-to-App Connectivity](https://www.g2.com/survey_responses/hivemq-review-12605432)" | | 4 | [Google Cloud Pub/Sub](https://www.g2.com/products/google-cloud-pub-sub/reviews) | 4.5/5.0 (34 reviews) | Serverless event-driven messaging inside GCP pipelines | "[Fully Managed Pub/Sub with Reliable, Low-Latency Global Scalability](https://www.g2.com/survey_responses/google-cloud-pub-sub-review-12540976)" | | 5 | [Azure Logic Apps](https://www.g2.com/products/azure-logic-apps/reviews) | 4.3/5.0 (89 reviews) | Azure-native event-driven workflow integration | "[Logic Apps Delivers Smooth, Secure Integrations with Great ROI](https://www.g2.com/survey_responses/azure-logic-apps-review-12682176)" | | 6 | [TIBCO Messaging](https://www.g2.com/products/tibco-messaging/reviews) | 4.4/5.0 (40 reviews) | Fault-tolerant async messaging for distributed enterprise systems | "[I have used these services to exchange data between systems.](https://www.g2.com/survey_responses/tibco-messaging-review-10757645)" | | 7 | [Hookdeck](https://www.g2.com/products/hookdeck/reviews) | 4.8/5.0 (71 reviews) | Webhook ingestion queuing with replay and routing | "[Great Webhook Relay Service](https://www.g2.com/survey_responses/hookdeck-review-11686952)" | | 8 | [Apache Kafka](https://www.g2.com/products/apache-kafka/reviews) | 4.5/5.0 (126 reviews) | High-throughput event streaming with replayable persistence | "[Reliable Real-Time Data Streaming at Scale with Kafka](https://www.g2.com/survey_responses/apache-kafka-review-12593230)" | | 9 | [RabbitMQ](https://www.g2.com/products/rabbitmq/reviews) | 4.1/5.0 (45 reviews) | Async microservice messaging with guaranteed delivery | "[The best payload transfer tool](https://www.g2.com/survey_responses/rabbitmq-review-9496271)" | | 10 | [meshIQ](https://www.g2.com/products/meshiq/reviews) | 4.6/5.0 (98 reviews) | Unified IBM MQ observability and administration | "[Sophisticated Monitoring with Great Dashboards](https://www.g2.com/survey_responses/meshiq-review-12602881)" | ## How Many Message Queue (MQ) Software Products Does G2 Track? **Total Products under this Category:** 52 ### Category Stats (Jun 2026) - **Average Rating**: 4.27/5 (↓0.01 vs May 2026) The average rating of products in this category, based on all submitted ratings - **Top Trending Product**: MuleSoft Anypoint Platform (+0.22%) - Among all products in this category, MuleSoft Anypoint Platform recorded the largest rating increase compared to last month *Last updated: June 19, 2026* ## How Does G2 Rank Message Queue (MQ) Software Products? **Why You Can Trust G2's Software Rankings:** - 30 Analysts and Data Experts - 2,400+ Authentic Reviews - 52+ Products - Unbiased Rankings G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category. --- **Sponsored** ### Omatic Software Omatic Cloud is the nonprofit integration and data platform, built for everyday nonprofit users by nonprofit professionals who understand your workflows. Nonprofits juggle more systems than ever, creating data inconsistencies across systems. By supporting workflows across fundraising, program management, and financial reporting, Omatic Cloud helps you unlock the power of data to inform decisions, engage supporters, and scale your mission. 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[HiveMQ](https://www.g2.com/products/hivemq/reviews) HiveMQ is the Industrial Data Platform helping enterprises move from connected devices to intelligent operations. Built on the MQTT standard and a distributed edge-to-cloud architecture, HiveMQ connects and governs industrial data in real time, enabling organizations to act with intelligence. With proven reliability, scalability, and interoperability, HiveMQ provides the foundation industrial companies need to operationalize AI, powering the next generation of intelligent industry. Global leaders including Audi, BMW, Eli Lilly, Liberty Global, Mercedes-Benz, and Siemens trust HiveMQ to run their most mission-critical operations. **Average Rating:** 4.5/5.0 **Total Reviews:** 87 **How Do G2 Users Rate HiveMQ?** - **Application Integration:** 9.5/10 (Category avg: 8.7/10) - **Plugins and integrations:** 8.8/10 (Category avg: 8.3/10) - **Data Integration:** 9.3/10 (Category avg: 8.8/10) - **Has the product been a good partner in doing business?:** 9.3/10 (Category avg: 8.7/10) **Who Is the Company Behind HiveMQ?** - **Seller:** [HiveMQ](https://www.g2.com/sellers/hivemq) - **Company Website:** https://www.hivemq.com/ - **Year Founded:** 2012 - **HQ Location:** Landshut, Bayern - **Twitter:** @HiveMQ (2,863 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/2949784 (170 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 44% Mid-Market, 38% Small-Business #### What Are HiveMQ's Pros and Cons? **Pros:** - Reliability (20 reviews) - Features (18 reviews) - Monitoring (14 reviews) - Efficiency Improvement (11 reviews) - Customer Support (10 reviews) **Cons:** - Expensive (17 reviews) - Difficult Learning (9 reviews) - Usability Issues (9 reviews) - Technical Issues (7 reviews) - UX Improvement (4 reviews) ### 2. [IBM MQ](https://www.g2.com/products/ibm-mq/reviews) IBM MQ connects applications and microservices in private datacenters, across hybrid or multi-cloud environments, and at the edge of the enterprise. It allows businesses, from large enterprises to startups, to ensure every order, every payment, and every customer interaction counts. Messages between applications are delivered reliably once-and-only-once and applications are decoupled to enable rapid response to sudden traffic increases or system outages. Businesses can tap into the value of existing mission-critical data to gain real-time insights and ensure the safety of customer and business data with comprehensive security mechanisms. **Average Rating:** 4.3/5.0 **Total Reviews:** 159 **How Do G2 Users Rate IBM MQ?** - **Application Integration:** 8.7/10 (Category avg: 8.7/10) - **Plugins and integrations:** 8.1/10 (Category avg: 8.3/10) - **Data Integration:** 8.6/10 (Category avg: 8.8/10) - **Has the product been a good partner in doing business?:** 8.6/10 (Category avg: 8.7/10) **Who Is the Company Behind IBM MQ?** - **Seller:** [IBM](https://www.g2.com/sellers/ibm) - **Year Founded:** 1911 - **HQ Location:** Armonk, New York, United States - **Twitter:** @IBMSecurity (74,660 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1009/ (328,202 employees on LinkedIn®) - **Ownership:** SWX:IBM **Who Uses This Product?** - **Who Uses This:** Senior Software Engineer, Technical Lead - **Top Industries:** Banking, Information Technology and Services - **Company Size:** 63% Enterprise, 26% Mid-Market ### 3. [Hookdeck](https://www.g2.com/products/hookdeck/reviews) Hookdeck is a fast and reliable event gateway for receiving, processing, and delivering asynchronous messages. It centralizes and streamlines communication between services – external providers (e.g. Shopify), internal endpoints (e.g. APIs), and any combination thereof. Configure Hookdeck platform resources and features such as event routing, filters, and transformations. And let Hookdeck automatically retry failed events for painless error recovery. Our developer tooling enables teams to build, deploy, operate, and observe their event-driven applications with confidence. **Average Rating:** 4.8/5.0 **Total Reviews:** 71 **How Do G2 Users Rate Hookdeck?** - **Application Integration:** 8.8/10 (Category avg: 8.7/10) - **Plugins and integrations:** 7.9/10 (Category avg: 8.3/10) - **Data Integration:** 8.8/10 (Category avg: 8.8/10) - **Has the product been a good partner in doing business?:** 9.7/10 (Category avg: 8.7/10) **Who Is the Company Behind Hookdeck?** - **Seller:** [Hookdeck](https://www.g2.com/sellers/hookdeck) - **HQ Location:** Montreal, Quebec - **LinkedIn® Page:** https://www.linkedin.com/company/hookdeck/ (13 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** CTO - **Top Industries:** Computer Software, Marketing and Advertising - **Company Size:** 66% Small-Business, 25% Mid-Market #### What Are Hookdeck's Pros and Cons? **Pros:** - Ease of Use (6 reviews) - Features (4 reviews) - Easy Setup (3 reviews) - Easy Integrations (2 reviews) - Free Services (2 reviews) **Cons:** - Expensive (3 reviews) - Complex Setup (1 reviews) - Difficult Usage (1 reviews) - Integration Issues (1 reviews) - Interface Complexity (1 reviews) ### 4. [Google Cloud Pub/Sub](https://www.g2.com/products/google-cloud-pub-sub/reviews) Ingest event streams from anywhere, at any scale, for simple, reliable, real-time stream analytics **Average Rating:** 4.5/5.0 **Total Reviews:** 34 **How Do G2 Users Rate Google Cloud Pub/Sub?** - **Application Integration:** 9.1/10 (Category avg: 8.7/10) - **Plugins and integrations:** 8.8/10 (Category avg: 8.3/10) - **Data Integration:** 9.2/10 (Category avg: 8.8/10) - **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 8.7/10) **Who Is the Company Behind Google Cloud Pub/Sub?** - **Seller:** [Google](https://www.g2.com/sellers/google) - **Year Founded:** 1998 - **HQ Location:** Mountain View, CA - **Twitter:** @google (31,899,995 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1441/ (341,888 employees on LinkedIn®) - **Ownership:** NASDAQ:GOOG **Who Uses This Product?** - **Top Industries:** Computer Software, Education Management - **Company Size:** 41% Small-Business, 31% Mid-Market #### What Are Google Cloud Pub/Sub's Pros and Cons? **Pros:** - Scalability (2 reviews) - Customer Support (1 reviews) - Ease of Use (1 reviews) - Easy Access (1 reviews) - Integrations (1 reviews) **Cons:** - Expensive (1 reviews) - Limitations (1 reviews) - Slow Processing (1 reviews) ### 5. [MuleSoft Anypoint Platform](https://www.g2.com/products/mulesoft-anypoint-platform/reviews) MuleSoft Anypoint Platform is the industry-leading integration and governance solution designed to connect any application, API, and AI agent across hybrid and multi-cloud environments. For nearly two decades, we have served as the integration backbone for the world’s most complex enterprises. Today, we are extending to the AI era. We allow organizations to move beyond AI sprawl into a unified architecture where legacy systems, modern APIs, and autonomous agents interact securely on a single, trusted foundation. Key capabilities and components include: Hybrid integration and connectivity, utilizing a library of hundreds of pre-built connectors and support for new AI protocols like MCP and A2A to provide AI agents with the tools they need to access and act within legacy ERPs, CRMs, and on-premise databases. MuleSoft Agent Fabric: Unified API and agent governance, applying the same rigorous security policies, cost controls, and traffic enforcement to AI models and agents that organizations already trust for their global API ecosystems through a single, federated control plane. Fabric also includes agent visibility and registry, offering a single source of truth to discover and observe any cross-ecosystem agent, ensuring complete transparency and the elimination of shadow AI. MuleSoft Vibes: Natural language design and management, providing a revamped experience where teams can use native natural language prompts to scaffold integrations, manage lifecycles, and stay ahead of technical sprawl using the AI tools they already prefer. Trusted runtime and compliance, delivering a fully managed, hybrid, or on-prem foundation that has been proven at scale for years, ensuring that every interaction is backed by enterprise-grade monitoring and human-in-the-loop security. Overall, MuleSoft Anypoint Platform is the enterprise platform for organizations seeking to bring visibility, trust, and orchestration to their APIs and AI agents. **Average Rating:** 4.5/5.0 **Total Reviews:** 646 **How Do G2 Users Rate MuleSoft Anypoint Platform?** - **Application Integration:** 9.1/10 (Category avg: 8.7/10) - **Plugins and integrations:** 8.7/10 (Category avg: 8.3/10) - **Data Integration:** 8.8/10 (Category avg: 8.8/10) - **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 8.7/10) **Who Is the Company Behind MuleSoft Anypoint Platform?** - **Seller:** [Salesforce](https://www.g2.com/sellers/salesforce) - **Company Website:** https://www.salesforce.com/ - **Year Founded:** 1999 - **HQ Location:** San Francisco, CA - **Twitter:** @salesforce (579,511 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/3185/ (83,223 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Software Engineer, Senior Software Engineer - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 56% Enterprise, 31% Mid-Market #### What Are MuleSoft Anypoint Platform's Pros and Cons? **Pros:** - Ease of Use (23 reviews) - Integration Capabilities (23 reviews) - Easy Integrations (20 reviews) - Features (20 reviews) - API Management (18 reviews) **Cons:** - Learning Curve (13 reviews) - Expensive (12 reviews) - Learning Difficulty (10 reviews) - Steep Learning Curve (10 reviews) - API Limitations (9 reviews) ### 6. [RabbitMQ](https://www.g2.com/products/rabbitmq/reviews) RabbitMQ is the most popular open source message broker, with more than 35,000 production deployments world-wide. RabbitMQ is lightweight and easy to deploy on premises and in the cloud and runs on all major operating systems. It supports most developer platforms, multiple messaging protocols and can be deployed in distributed and federated configurations to meet high-scale, high-availability requirements. **Average Rating:** 4.1/5.0 **Total Reviews:** 45 **How Do G2 Users Rate RabbitMQ?** - **Application Integration:** 8.4/10 (Category avg: 8.7/10) - **Plugins and integrations:** 7.8/10 (Category avg: 8.3/10) - **Data Integration:** 7.9/10 (Category avg: 8.8/10) - **Has the product been a good partner in doing business?:** 8.1/10 (Category avg: 8.7/10) **Who Is the Company Behind RabbitMQ?** - **Seller:** [Broadcom](https://www.g2.com/sellers/broadcom-ab3091cd-4724-46a8-ac89-219d6bc8e166) - **Year Founded:** 1991 - **HQ Location:** San Jose, CA - **Twitter:** @broadcom (63,909 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/broadcom/ (55,094 employees on LinkedIn®) - **Ownership:** NASDAQ: CA **Who Uses This Product?** - **Who Uses This:** Software Engineer - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 40% Mid-Market, 36% Small-Business ### 7. [Ably Realtime](https://www.g2.com/products/ably-realtime/reviews) Ably helps teams deliver resilient AI UX and high-performance live experiences that stay fast and in sync worldwide. We provide the global realtime layer for AI agents, chat, notifications, live dashboards, and collaboration - engineered to handle peak demand without self-managed infrastructure. Teams like HubSpot and Intercom use Ably to avoid the cost and complexity of building and operating realtime systems, while still getting predictable performance at serious scale, handling 2T+ API operations per month. Ably’s Pub/Sub, Chat, and AI Transport products are unified by design, with developer-friendly APIs and SDKs that integrate across your stack. **Average Rating:** 4.8/5.0 **Total Reviews:** 67 **How Do G2 Users Rate Ably Realtime?** - **Application Integration:** 9.4/10 (Category avg: 8.7/10) - **Plugins and integrations:** 8.5/10 (Category avg: 8.3/10) - **Data Integration:** 9.4/10 (Category avg: 8.8/10) - **Has the product been a good partner in doing business?:** 9.4/10 (Category avg: 8.7/10) **Who Is the Company Behind Ably Realtime?** - **Seller:** [Ably Realtime](https://www.g2.com/sellers/ably-realtime) - **Year Founded:** 2016 - **HQ Location:** London, GB - **Twitter:** @ablyrealtime (1,862 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/ably-realtime (118 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Software Engineer - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 45% Small-Business, 28% Mid-Market #### What Are Ably Realtime's Pros and Cons? **Pros:** - Customer Support (14 reviews) - Ease of Use (14 reviews) - Easy Integrations (13 reviews) - Reliability (11 reviews) - Fast Communication (8 reviews) **Cons:** - Expensive (6 reviews) - Pricing Issues (4 reviews) - Data Management Issues (2 reviews) - Learning Curve (2 reviews) - Limitations (2 reviews) ### 8. [Apache Kafka](https://www.g2.com/products/apache-kafka/reviews) 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. **Average Rating:** 4.5/5.0 **Total Reviews:** 126 **How Do G2 Users Rate Apache Kafka?** - **Application Integration:** 8.8/10 (Category avg: 8.7/10) - **Plugins and integrations:** 8.1/10 (Category avg: 8.3/10) - **Data Integration:** 8.4/10 (Category avg: 8.8/10) - **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 8.7/10) **Who Is the Company Behind Apache Kafka?** - **Seller:** [The Apache Software Foundation](https://www.g2.com/sellers/the-apache-software-foundation) - **Year Founded:** 1999 - **HQ Location:** Wakefield, MA - **Twitter:** @TheASF (66,168 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/215982/ (2,408 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Software Engineer, Senior Software Engineer - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 47% Enterprise, 33% Mid-Market #### What Are Apache Kafka's Pros and Cons? **Pros:** - Scalability (5 reviews) - Real-time Data (3 reviews) - Easy Integrations (2 reviews) - Performance (2 reviews) - Performance Efficiency (2 reviews) **Cons:** - Complexity (1 reviews) - Data Management Issues (1 reviews) - Debugging Issues (1 reviews) - Difficult Learning (1 reviews) - Limited Customization (1 reviews) ### 9. [TIBCO Messaging](https://www.g2.com/products/tibco-messaging/reviews) Real-time data is fundamental to the digital business that must operate at unprecedented speeds and agility, demanding a messaging system with high performance, throughput, and availability to ensure data is delivered efficiently and securely when and where it is needed. Messaging enables real-time data distribution between disparate endpoints wherever they are hosted, while also being a central component of event-driven and streaming data architectures. TIBCO provides both open source and commercial messaging technology to enable all of the use cases needed to connect complex, large-scale information landscapes including cloud integration, event processing, streaming analytics, business app connectivity, IoT, mobile, and web. TIBCO offers high-performance messaging technology and gives customers flexibility and unique choice between Commercial and Open-source messaging solutions: -- TIBCO Enterprise Message Service™: The industry-leading Jakarta-based messaging for store and forward messaging services. -- TIBCO FTL: High performing, low-latency, enterprise and cloud-ready messaging -- TIBCO eFTL: TIBCO messaging for REST, web, and mobile-based devices -- TIBCO® Messaging Castle - Powered by Apache Kafka®: Secure, reliable, open source, and real-time streaming data pipelines -- TIBCO® Messaging Quasar - Powered by Apache Pulsar™ : Multi-tenant, high-performance open source solution for server-to-server communication -- TIBCO® Messaging - Eclipse Mosquito Distribution: Connect IoT devices using MQTT to any TIBCO Messaging components **Average Rating:** 4.4/5.0 **Total Reviews:** 40 **How Do G2 Users Rate TIBCO Messaging?** - **Application Integration:** 9.5/10 (Category avg: 8.7/10) - **Plugins and integrations:** 8.9/10 (Category avg: 8.3/10) - **Data Integration:** 9.0/10 (Category avg: 8.8/10) - **Has the product been a good partner in doing business?:** 9.3/10 (Category avg: 8.7/10) **Who Is the Company Behind TIBCO Messaging?** - **Seller:** [Cloud Software Group](https://www.g2.com/sellers/cloud-software-group) - **HQ Location:** Fort Lauderdale, FL - **Twitter:** @cloudsoftware (124 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/cloudsoftwaregroup/ (9,527 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 51% Enterprise, 28% Small-Business ### 10. [Azure Logic Apps](https://www.g2.com/products/azure-logic-apps/reviews) 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. **Average Rating:** 4.3/5.0 **Total Reviews:** 89 **How Do G2 Users Rate Azure Logic Apps?** - **Application Integration:** 9.0/10 (Category avg: 8.7/10) - **Plugins and integrations:** 7.9/10 (Category avg: 8.3/10) - **Data Integration:** 8.4/10 (Category avg: 8.8/10) - **Has the product been a good partner in doing business?:** 8.7/10 (Category avg: 8.7/10) **Who Is the Company Behind Azure Logic Apps?** - **Seller:** [Microsoft](https://www.g2.com/sellers/microsoft) - **Year Founded:** 1975 - **HQ Location:** Redmond, Washington - **Twitter:** @microsoft (13,091,739 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/microsoft/ (231,632 employees on LinkedIn®) - **Ownership:** MSFT **Who Uses This Product?** - **Who Uses This:** Software Engineer - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 41% Enterprise, 32% Small-Business #### What Are Azure Logic Apps's Pros and Cons? **Pros:** - Ease of Learning (1 reviews) - Implementation Ease (1 reviews) - Quick Setup (1 reviews) **Cons:** - Complexity (1 reviews) - Slow Processing (1 reviews) ### 11. [meshIQ](https://www.g2.com/products/meshiq/reviews) meshIQ is the enterprise evolution platform purpose-built to transform how organizations manage and optimize their middleware—the digital nervous system of the enterprise. It provides unified visibility, control, and modernization of messaging, event streaming, and B2B transactional flows across all middleware vendors, all environments, and at enterprise scale. Acting as a real-time intelligence layer across your entire ecosystem, meshIQ connects, monitors, and analyzes every message, event, and business transaction with forensic-level insight, so you can run incredibly lean operations with confidence and control. By eliminating the expense, complexity, and manual nature of managing multiple middleware platforms, meshIQ helps enterprises dramatically cut OPEX, resolve incidents and disputes up to 70% faster, reduce manual reconciliation efforts, and accelerate service delivery. The platform also provides a safe, fast, and reliable path to modernize middleware and migrate to modern architectures such as Apache Kafka®, ActiveMQ®, and cloud-native environments—without disruption. And with built-in B2B Flow Intelligence, organizations can assure every business transaction to safeguard revenue, meet regulatory requirements, and protect customer trust and experiences. **Average Rating:** 4.6/5.0 **Total Reviews:** 98 **How Do G2 Users Rate meshIQ?** - **Application Integration:** 8.2/10 (Category avg: 8.7/10) - **Plugins and integrations:** 8.3/10 (Category avg: 8.3/10) - **Data Integration:** 8.5/10 (Category avg: 8.8/10) - **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 8.7/10) **Who Is the Company Behind meshIQ?** - **Seller:** [meshIQ](https://www.g2.com/sellers/meshiq) - **Company Website:** https://www.meshiq.com/ - **Year Founded:** 1994 - **HQ Location:** Plainview, NY - **LinkedIn® Page:** https://www.linkedin.com/company/nastel-technologies/ (62 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Software Engineer - **Top Industries:** Banking, Information Technology and Services - **Company Size:** 44% Enterprise, 37% Mid-Market #### What Are meshIQ's Pros and Cons? **Pros:** - Ease of Use (33 reviews) - Real-time Monitoring (20 reviews) - User Interface (17 reviews) - Monitoring (15 reviews) - Useful (11 reviews) **Cons:** - Difficult Learning (14 reviews) - Learning Curve (14 reviews) - Complexity (11 reviews) - Difficult Configuration (10 reviews) - Learning Difficulty (10 reviews) ### 12. [ZeroMQ](https://www.g2.com/products/zeromq/reviews) ZeroMQ is a high-performance asynchronous messaging library, aimed at use in distributed or concurrent applications. It provides a message queue, but unlike message-oriented middleware, a ZeroMQ system can run without a dedicated message broker. **Average Rating:** 4.3/5.0 **Total Reviews:** 21 **How Do G2 Users Rate ZeroMQ?** - **Application Integration:** 8.1/10 (Category avg: 8.7/10) - **Plugins and integrations:** 7.8/10 (Category avg: 8.3/10) - **Data Integration:** 7.3/10 (Category avg: 8.8/10) - **Has the product been a good partner in doing business?:** 7.0/10 (Category avg: 8.7/10) **Who Is the Company Behind ZeroMQ?** - **Seller:** [ZeroMQ](https://www.g2.com/sellers/zeromq) - **Year Founded:** 2003 - **HQ Location:** Delhi, DL - **Twitter:** @zeromq (370 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/zmq (56 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Computer Software - **Company Size:** 45% Small-Business, 36% Mid-Market ### 13. [KubeMQ](https://www.g2.com/products/kubemq/reviews) Kubernetes Messaging Platform 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. Kubernetes Native 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. Ease of use 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 to define exchanges, brokers, channels, routes, and predefined topics. All messaging patterns KubeMQ available with all messaging patterns including Queue, Stream, Pub/Sub, and RPC. Saving the need to maintain multiple messaging platforms for different use cases. Hybrid Environments KubeMQ enables the microservices from multiple environments to communicate with each other and build one hybrid infrastructure solution across clouds, on-prem, and at the edge. Enterprise-grade assurance Enterprises have access to KubeMQ Operator from the Red Hat Container and Operator Catalog, a marketplace overseen and managed by Red Hat, with an assurance of the Red Hat certification, and enterprise support. **Average Rating:** 4.5/5.0 **Total Reviews:** 11 **How Do G2 Users Rate KubeMQ?** - **Application Integration:** 8.9/10 (Category avg: 8.7/10) - **Plugins and integrations:** 7.2/10 (Category avg: 8.3/10) - **Data Integration:** 8.3/10 (Category avg: 8.8/10) - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 8.7/10) **Who Is the Company Behind KubeMQ?** - **Seller:** [KubeMQ](https://www.g2.com/sellers/kubemq) - **Year Founded:** 2013 - **HQ Location:** New York, NY - **Twitter:** @KubeMq (173 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/kube-systems (1 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 92% Small-Business, 8% Mid-Market ## What Is Message Queue (MQ) Software? [IT Management Software](https://www.g2.com/categories/it-management) ## What Software Categories Are Similar to Message Queue (MQ) Software? - [iPaaS Software](https://www.g2.com/categories/ipaas) - [Event Stream Processing Software](https://www.g2.com/categories/event-stream-processing) --- ## How Do You Choose the Right Message Queue (MQ) Software? ### What You Should Know About Message Queue (MQ) Software ### What is Message Queue Software? Message queue software is an asynchronous communication middleware that connects applications. Traditional monolithic software is built to communicate with itself or a few other applications. When the software sends or receives data from another software, this data is called a message. It is difficult to send and receive data to another app due to different operating systems, network protocols, and programming languages. Message queue software solves these problems by handling messages for applications from different environments. It creates a new high availability, high reliability, high throughput, and low latency environment to send and receive messages from one application to another.  As the name suggests, MQ software lines up different messages by “queue” and processes each message through standardized methods. This helps companies to develop high-performance cloud services and apps such as microservices that can communicate with other applications and operating systems without worrying about compatibility issues.  In the early years, big companies invested heavily in proprietary software and middleware that could connect their products with each other. Using the same IT stacks and standards, these companies can create connected applications. With the vast network of applications connected by middleware, users can solve various complex problems that require multiple inputs and outputs from different environments.  However, only big companies with big budgets can afford to develop this approach. For most companies and non-business users who use different network standards, programming languages, and data structures, connected applications seem to be unobtainable. This is why there are many business issues that seem to be easy to solve but are technically challenging to implement. For example, hospitals and insurance companies can’t share patient data automatically because their applications aren’t compatible in communicating with each other. Those who managed to set up the connectivity may still use proprietary protocols such as raw UDP, TCP, and HTTP, which are hard to scale and integrate with other applications.  To solve this issue, early open-source organizations build open source message brokers specific to a language environment like Java and Python. Later big companies began building their own messaging system for others, such as AWS and IBM MQ, to create enterprise messaging platforms that run on their own IT systems. Software buyers can select the best message queue web services or on-premises software to connect various assets such as big data servers to the internet of things (IoT). **What Does MQ Stand For?** MQ stands for Message Queue. A “message” is data that transfers from one party to another. A “queue” is how that message is transferred and processed from one party to another. ### What are the Common Features of Message Queue Software? The following are some core features within Message Queue Software that can help users ensure high availability of message queuing services: **Message query:** MQ allows applications to query messages by ID, topics, keys, and contents. This enables the user to organize messages based on custom rules. **Message tracing:** MQ can trace routing information from the producer of the message to the consumer. This allows users to analyze metadata on the message producer and consumer for network performance issues.  **Dead-letter queue:** MQ supports dead-letter queues (DLQ) to save messages that can’t be processed for debugging to determine why the queueing process failed.  **Message blocklist and allowlist:** MQ supports account-based blocklist and allowlist policies to authorize or unauthorize messages from internal and external parties.  **Multiple message processes:** Message queue processes can be created for different models. In a peer-to-peer model, a producer sends one message to one consumer. In a pub/sub model, producers can send group messages to consumers with the same cluster ID. In RPC (request/reply) model, MQ can load balance messages back and forth between producer and consumer.  **Dashboard:** A user-friendly dashboard can visualize comprehensive and multidimensional metrics of message product and consumption based on clusters, topics, instances, and groups. This will spot trends for server resource allocation and security improvement.  **Monitoring and alerting:** Messaging activities can be monitored in real time, and alerts can be sent to notify the IT and data team to resolve issues in a timely manner. ### What are the Benefits of Message Queue Software? **Decoupling:** Message queue tools decouple (separate) applications and message services. This simplifies CI/CD development so developers can design and update core components without worrying about the message components.  **Load shifting:** Messages can automatically be queued according to their size, frequency, and quantity. When there is a large number of message requests, servers can fail to process this amount of volume. It will either crash or indiscriminately reject all incoming messages. Without load shifting, message disruption will halt online business operations and negatively affect revenue.  **Scalability:** MQ servers can be integrated with other applications and be allocated an appropriate amount of resources based on needs. This saves users time from manually changing the message process during disruptions or software upgrades. ### Who Uses Message Queue Software? **IT teams:** IT teams can use MQ software to customize how the data can flow from the application to the user. They can process data from other applications and microservices in an asynchronous method instead of relying on synchronous protocol methods such as REST API. ### Challenges with Message Queue Software Software solutions can come with their own set of challenges.  **Poor MQ practice:** MQ policies may slow down message processing speed due to incorrect models. The system might automatically blame the issue on the message senders and blocklist them. MQ users should identify common messages and plan ahead on how to process different types of messages beforehand. It is best to test through multiple message queue processes based on the expected load to avoid bandwidth issues.  **Ease of use:** Message queue can bring additional challenges without the right talent. To set up the correct message queue process, an IT team has to go through different scenarios with different types of network connections and message processing rules, which would result in adding additional layers and slowing down the loading speed. Companies should ensure they invest in additional talent to maintain the MQ process and software.  ### How to Buy Message Queue Software #### Requirements Gathering (RFI/RFP) for Message Queue Software As good as it sounds, message queue software may not be suitable for every use case. MQ software is typically designed to handle a permanent and ongoing messaging process that requires fast processing speed and zero-lost-message tolerance when losing a message can significantly impact the operation. Simple or temporal message processing may not need MQ software, which adds unnecessary costs and time.  Users should have a specific use case in mind before considering buying an MQ software. Financial firms or hospitals that transfer sensitive, timely, critical messages might need a high availability MQ server to process the messages. Different use cases require different MQ models and features. Since not all requirements have the same importance, buyers should assign them priorities and focus on the most important ones. Buyers need to differentiate must-have features from nice-to-have features from their business case. #### Compare Message Queue Software Products **Create a long list** Buyers should start with a large pool of MQ software vendors. Keeping the desired must-have features in mind, buyers must perform consistent inquiries during demos by which they can effectively compare the pros and cons of each software. **Create a short list** It helps cross reference the results of initial vendor evaluations with G2 reviews from other buyers, which will help narrow in on a short three to five product list. From there, buyers can compare pricing and features to determine the best fit. **Conduct demos** As a rule of thumb, companies should make sure to demo all of the products that end up on their short list. During demos, buyers should ask specific questions related to the functionalities they care about most. For example, one might ask to be walked through a typical performance issue from alerting to remediation within the tool.  #### Selection of Message Queue Software **Choose a selection team** Regardless of a company’s size, it’s essential to involve the most relevant personas when beginning the software selection process. Larger companies may include individual team members from development teams, testing teams, data teams, and other IT professionals working with the software closely. Smaller companies with fewer employees might overlap roles.  **Negotiation** Many companies offer full monitoring platforms that go beyond MQ to include network monitoring, infrastructure monitoring, and more. While some companies will not budge on the configurations of their packages, buyers looking to trim costs should try to negotiate down to the specific functions that matter to them to get the best price. For example, a vendor’s pricing page for MQ functionality might only be included with a robust all-in-one monitoring package, whereas a sales conversation may prove otherwise.  **Final decision** After this stage, performing a trial run with a small selection of IT professionals or developers is important. This will help ensure that the MQ software of choice integrates well with an IT administrator’s systems setup or a developer’s day-to-day work. If the software is well-liked and well utilized, the buyer can take that as a sign that their selection is the right one. If not, a reevaluation of the options may be required.