Accelerate connectivity with Kepware Edge
Kepware Edge will enable manufacturers to rapidly deploy industrial connectivity across sites, lines, and the enterprise—creating seamless integration between devices and applications—while simplifying ongoing maintenance, lowering total cost of ownership, and reducing cybersecurity risks.
The initial offering of Kepware Edge will include device connectivity for top name PLC and device brands and will enable integration to most applications via MQTT and OPC UA.
The foundation for future Kepware innovation
"Kepware Edge marks a significant milestone in our mission to deliver powerful, reliable connectivity that our customers trust on Windows—now in a flexible, Linux-based environment. This initial offering is just the first step in expanding our industrial connectivity solutions to support the growing demand for open, scalable architectures, empowering manufacturers to seamlessly integrate data across their operations."
Abby Eon, GM and SVP, PTC Kepware
Key features of Kepware Edge
Device connectivity for major device brands
Access data from Allen-Bradley, Siemens, and Modbus-enabled devices with drivers tailored to containerized deployment. The initial offering of Kepware Edge will include the Siemens S7 Ethernet, Allen-Bradley ControlLogix Ethernet, and Modbus Ethernet drivers.
IT & OT integrations via MQTT and OPC UA
Easily and securely share data across OT and IT applications—including SCADA, MES, and cloud platforms like AWS and Azure—using MQTT and OPC UA.
Linux container support
Kepware Edge is a Linux-based solution that will be deployed via a container to accelerate deployment, reduce maintenance costs, and mitigate cybersecurity risks.
Enhanced performance and security
Kepware Edge is a 64-bit application making it well suited to handle the increasingly large datasets required for modern use cases, and includes enhanced security and portability features inherent to containerized solutions.
Scalability and maintainability
Simplify deployment and management processes with containerization, reducing operational overhead and improving efficiency when updating versions and patching.