MySQL
105 Case Studies
A MySQL Case Study
Chungho Nais, a South Korea–based home appliance company, faced the challenge of building a secure, high‑performance backend to collect and analyze large volumes of IoT sensor data from its products, provide customers with real‑time device status via mobile apps, extract anonymized trend insights for product development, and reduce big‑data costs without sacrificing reliability.
The company implemented a hybrid MySQL + Datastream TeraStream solution with high‑availability ingestion, a MySQL service database, and Hadoop analytics. This architecture delivered real‑time app services, enabled predictive purchasing models, and improved operational analysis—yielding more than 3× faster data processing, a 50% reduction in IT spend, and secure, scalable storage of customer metadata.