Compare FactoryTalk Edge Gateway vs. HiveMQ

The sheer volume and rapid generation of industrial data make it challenging to capture accurately. Even if successful, the data often lacks the necessary context and usability for effective application. Furthermore, with operational data trapped within various devices or confined in isolated systems, data scientists face considerable hurdles in data preparation and struggle to derive meaningful insights for improving industrial performance. FactoryTalk® Edge Gateway™ software tackles these issues head-on, enabling actionable insights at both the plant and enterprise level to facilitate the digital transformation of the IIoT. By simplifying and automating the collection, contextualization, and structuring of industrial equipment data directly at the source, it ensures high data integrity from the very beginning. This software lays the groundwork for achieving a seamless integration of IT and OT at the enterprise level, allowing individuals from the shop floor to executive management to make informed and intelligent decisions that can drive operational excellence. Ultimately, this advancement not only enhances decision-making but also positions organizations for future growth and innovation.

The HiveMQ Platform provides a scalable, reliable data backbone with an event-driven MQTT architecture. Here are a few highlights: 1. MQTT Broker: At the heart of the HiveMQ platform is a fully MQTT-compliant broker purpose-built for fast, reliable, bi-directional data movement between IoT devices and enterprise systems. 2. Edge Data Integration: HiveMQ Edge seamlessly integrates edge data by converting industrial protocols into standardized MQTT, enabling an interoperable IIoT infrastructure. 3. IoT Streaming Governance: Data Hub transforms data in flight, passing only the most relevant, contextualized data to cloud and enterprise systems. 4. UNS & IT/OT convergence Enabler: Commonly used as the backbone for Unified Namespace architectures and seamlessly connects OT devices with IT systems for full visibility and interoperability. 5. Distributed Data Intelligence: HiveMQ Pulse unifies and contextualizes data across the enterprise for smarter decisions exactly where they matter most. 6. Maximum Interoperability: Runs anywhere on-premises or in public or private clouds. Efficiently connects to streaming applications, databases and data lakes with a Java SDK to build your own 7. Scalability to Support Growth: Elastic scaling with automatic data balancing and smart message distribution. Proven benchmark of up to 200M active clients with 1.8B messages/hour 8. Business Critical Reliability: Zero message loss with persistence to disk and offline queuing. No single point of failure due to masterless cluster architecture and zero downtime upgrades