Case Study: General Electric achieves real-time IIoT data ingestion and analytics with DataTorrent Apache Apex

Apache Apex enables GE to transform industrial internet of things (IIoT) data into opportunity

General Electric needed a fast, reliable way to ingest and analyze massive volumes of machine data from thousands of connected machines and sensors for its Predix industrial IoT platform. The challenge was to process data from disparate sources in real time with zero data loss, sub-millisecond latency, and easy enterprise-scale scalability. DataTorrent’s Apache Apex was used to meet these requirements.

DataTorrent implemented Apache Apex to provide real-time ingestion, exactly-once processing, high availability, and automatic scaling for GE’s data streams. The result was unified monitoring of connected devices, timely sensor alerts, and the ability to build industrial internet applications faster. GE achieved zero data loss, single-digit millisecond latency, and improved predictive analytics to reduce downtime, lower costs, and speed innovation.

General Electric