Best IoT Analytics Software for Linux

Tractian is the Industrial Copilot for maintenance and reliability, providing a cutting-edge platform designed to prevent unplanned downtime, boost operational efficiency, and enhance maintenance capacity. Trusted by global brands such as Bosch, Kraft Heinz, Carrier, Hyundai, Johnson Controls, and P&G, Tractian combines condition monitoring, energy efficiency, and a CMMS into a comprehensive, mobile-first solution. With Tractian, you can: Monitor real-time vibration, temperature, runtime, and RPM across critical assets Get real-time alerts and detailed diagnostics to address potential issues before they lead to failures Digitize workflows for streamlined work order management, planning & scheduling, and materials management Optimize energy consumption for improved sustainability and cost savings

With a true agnostic approach, Ayla supports device connectivity across common transport protocols, connectivity paths, and cloud infrastructure platforms. Working seamlessly with HTTPS, MQTT, and CoAP Ayla's wide array of agents are pre-built to support embedded solutions, gateways, Android, Linux, BLE / phone, and cloud integrations. Ayla's Virtualization Engine enables a robust 'digital twin' of the physical device that lays the foundation for device management at IoT scale. With battle tested features including rules engine, firmware OTA updates, data policies, and more Ayla's Device Management provides full support for connected products throughout their lifecycle. With Ayla's application enablement offering strong business value can be extracted from the data in a variety of ways. Both a Web Framework and Mobile Platform SDK provide rapid delivery of both consumer mobile and business application development. In addition, Customer Care, Field Service, and Asset Tracking.

Fogwing is the next generation Industrial IoT platform engineered with features to build IoT Solutions for various industrial use cases; from industrial equipment monitoring, asset tracking, equipment condition monitoring to predictive maintenance. Users can build and deploy IoT based automation solutions without deep information technology expertise. The extended data analytics provides data driven analytical processes to predict operational risks and actions at lower TCO!