Case Study: Infiswift achieves real-time, scalable IoT analytics with MemSQL

How Infiswift Supercharged Its Analytics for IoT Applications

Infiswift builds a platform that connects and manages large fleets of IoT endpoints to deliver real-time and historical insights for industries like agriculture, renewable energy, and manufacturing. Facing millions of device events arriving each second, the company needed a high-throughput, memory-optimized database that could ingest intermittent data rapidly, provide transactional consistency, persist to disk for long-term analysis, and compress large volumes efficiently.

Infiswift chose MemSQL as its real-time analytics engine, using a hybrid in-memory rowstore and disk-backed columnstore to balance speed and storage efficiency, maintain ANSI SQL compatibility, and support scalable transactions. The result: reliable real-time and historical analytics with up to 7x compression, faster ingestion and processing of sensor events, and improved equipment reliability and cost optimization for customers.

Infiswift