InfluxData: How an Analytics Platform Detects Reliability Threats and Eliminates Obstacles Impeding Results Using InfluxDB

Tignis built a physics-driven analytics platform that aids in improvements to the reliability and efficiency of connected mechanical systems. Tignis’ solution analyzes large quantities of time series data from IoT sensors to help identify issues affecting system performance in real-time as well as provide accurate data for predictive maintenance. They chose InfluxDB for its high ingest and storage of time series data as well as its ability to easily send this data into their systems for predictive analytics.

Hear from Jon Herlocker, CEO at Tignis, to learn how using a purpose-built time series database helps to continuously optimize reliability of their customers’ connected mechanical systems.