Case Study: Intelligentpipe achieves real-time, terabyte-scale analytics with GridGain In-Memory Data Fabric

Intelligentpipe Leverages GridGain® In-Memory Computing Platform for Real-Time Analytics

Intelligentpipe, a big-data software company with offices in Finland and Singapore, develops analytics for mobile operators that process event data from tens of millions of users. Faced with terabytes of real-time traffic data and the need to run low-latency analyses for better network investment decisions, the company required a high-performance, scalable big-data platform.

Intelligentpipe selected the GridGain In-Memory Data Fabric, using its distributed in-memory caching, computation and streaming to ingest real-time network streams and run queries that were previously impractical. The solution delivered higher performance and reliability, linear scalability to handle growing terabyte-scale data, smooth integration, and faster analytics enabling telecom customers to make fact-based infrastructure investments.

Intelligentpipe

Sakari Paloviita

CTO, Intelligentpipe