Compare FrameworX vs. HiveMQ

Tatsoft's FrameworX is a .NET-based SCADA and IIoT platform built for engineers who need full control over industrial applications, from edge devices to enterprise systems. AI Designer sets FrameworX apart. Using the Model Context Protocol (MCP), 18 specialized tools give AI direct, real-time access to the Designer IDE. You describe what you need and the AI configures tags, alarms, historian, devices, displays, and scripts immediately, in the same session, with no file imports or code generation. It connects natively with Claude, GitHub Copilot, Cursor, and any MCP-compatible model. Built-in domain intelligence covers ISA-95, UDTs, ISA-18.2 alarm philosophy, and historian best practices. Engineers report 2x to 10x faster configuration. The platform includes real-time data modeling, a built-in historian, alarm management, audit trails, reports, and native scripting in C#, VB.NET, JavaScript, and Python. Over 100 native drivers cover PLCs, DCS, OPC-UA, OPC-DA, and MQTT (broker, client, and SparkplugB). Deploy to web, mobile, or desktop with zero client installs. Every module ships included: Devices, Alarms, Historian, Reports, Security, and DevOps tools. No module licensing. No per-tag fees. Proven in 5,000+ deployments across water, energy, manufacturing, and infrastructure. (FrameworX was formerly known as FactoryStudio.)

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