Top 10 EMQX Alternatives & Competitors

Top 10 Alternatives to EMQX Recently Reviewed By G2 Community

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HiveMQ
By HiveMQ
4.5/5
(64)
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 EMQX, HiveMQ is:
Better at support
Better at meeting requirements
Categories in common with EMQX:
Industrial IoT
Message Queue (MQ)
IoT Connectivity Management

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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Categories in common with EMQX:
Message Queue (MQ)

SAP Business Technology Platform
By SAP
4.4/5
(399)
Product Description
SAP Business Technology Platform (SAP BTP is a comprehensive, multi-cloud platform designed to integrate, automate, extend, and develop AI-powered business applications and processes across enterprises. It empowers organizations to unlock the full potential of their data and applications, facilitating seamless connectivity between SAP and non-SAP systems. By leveraging SAP BTP, businesses can accelerate innovation, enhance operational efficiency, and drive digital transformation. Key Features and Functionality: - Integration: SAP BTP enables the seamless connection of systems and processes across the enterprise, reducing development effort and accelerating time to value with prebuilt integrations and workflows. - Application Development and Automation: The platform supports the creation and extension of business applications using low-code, pro-code, and generative AI tools, allowing for rapid development and automation of processes. - Data and Analytics: SAP BTP provides robust data management and analytics capabilities, enabling organizations to integrate with SAP Business Data Cloud to build smarter applications and develop reliable AI solutions grounded in up-to-date business context. - Artificial Intelligence: The platform offers AI capabilities specialized in automating and extending mission-critical business processes, allowing businesses to innovate and accelerate with AI. Primary Value and Solutions Provided: SAP BTP addresses the challenges of integrating disparate systems, developing custom applications, and harnessing data for informed decision-making. By providing a unified platform that combines integration, application development, data management, and AI, SAP BTP enables organizations to: - Accelerate Digital Transformation: By integrating and extending business applications faster, organizations can streamline operations and adapt to changing market demands. - Enhance Decision-Making: With comprehensive data and analytics capabilities, businesses can gain real-time insights, leading to more informed and strategic decisions. - Drive Innovation: The platform's AI and automation tools empower organizations to innovate by developing intelligent applications and automating complex processes, thereby increasing efficiency and reducing manual effort. In summary, SAP Business Technology Platform serves as a foundational element for enterprises aiming to integrate their systems, develop and extend applications, manage data effectively, and leverage AI to drive innovation and operational excellence.
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Reviewers say compared to EMQX, SAP Business Technology Platform is:
Better at support
Categories in common with EMQX:
IoT Platforms
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Particle
By Particle
4.5/5
(195)
Product Description
Particle offers a suite of hardware and software tools to help you prototype, scale, and manage your Internet of Things products.
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Categories in common with EMQX:
Industrial IoT
IoT Platforms

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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Categories in common with EMQX:
Message Queue (MQ)

Pelion IoT Connectivity
By Pelion
4.3/5
(146)
Product Description
Effortless Global IoT Connectivity Stay connected across the globe with access to over 600 networks in more than 150 countries. Pelion’s true multi-network connectivity ensures your devices can connect unsteered to any available local network in key regions like the UK and US—delivering the reliability and flexibility your deployment demands. Our eUICC-enabled SIMs are available in multiple formats, including embedded and physical triple-cut, giving you the flexibility to match your hardware and deployment strategy. Built for Resilience and Security With robust VPN and IPsec failover solutions, Pelion ensures your data is always secure, and your devices stay connected—even when the unexpected happens. Our network is designed with resilience, integrity, and data protection at its core. Complete Control with the Pelion Portal Take command of your entire IoT estate with the Pelion Portal—our powerful connectivity management platform. Order, deploy, and provision SIMs with ease. Monitor data usage, perform over-the-air updates, and access billing and invoicing—all from one place.
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Reviewers say compared to EMQX, Pelion IoT Connectivity is:
Better at support
Categories in common with EMQX:
Industrial IoT
IoT Platforms
IoT Connectivity Management

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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Categories in common with EMQX:
Message Queue (MQ)

Geotab
By Geotab
4.5/5
(121)
Product Description
Geotab is a global leader in telematics, providing open platform fleet management solutions to businesses of all sizes. Geotab's intuitive, full-featured solutions help businesses better manage their drivers and vehicles by extracting accurate and actionable intelligence from real-time and historical trips data.
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Reviewers say compared to EMQX, Geotab is:
Better at support
Categories in common with EMQX:
Industrial IoT

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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Categories in common with EMQX:
Message Queue (MQ)

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