Cloud based sensor data analytics

sensor analytics -- from real-time monitoring of manufacturing equipment to prevent costly failures to the operational analysis of solar arrays to optimise electricity yield to exploratory analysis of medical device data to discover correlations and improve patient outcomes.

The opportunities to reduce cost or increase revenues by leveraging IoT are well-understood, but the challenges in making sense of the data generated by sensors are unlike any big data challenges yet encountered. TempoDB argues that without purpose-built, integrated sensor analytics solutions, businesses will struggle to realise the tremendous promise of a connected and measured world.

TempoDB notes that legacy approaches and generic big data solutions -- from general-purpose open source databases to complicated, expensive on-premise enterprise analytics solutions -- were never designed to provide sensor analytics at scale or in a cloud-native architecture. TempoDB intends to help solve this problem through a sensor analytics backend delivered as a private cloud service. The services make it simple for users to add sensor analytics to their products or services.

TempoDB provides proprietary real-time sensor data monitoring and analytics engines, which are integrated into its custom data store, to ensure performance and security as users scale up to (potentially) millions of devices and sensors.