Case Study: Quby achieves accelerated machine learning innovation and reduced infrastructure costs with Databricks

Quby - Customer Case Study

Quby, the company behind Toon — a smart energy management device that helps users control energy use, comfort, and home security — faced scaling and operational challenges with its on-prem Hadoop cluster. Scaling was costly and slow, engineers spent excessive time managing clusters and dependencies, collaboration was hindered by varied data-science experience, and the team had limited Spark and big-data expertise.

By adopting Databricks’ unified analytics platform with automated cluster management, multi-language collaborative notebooks, and support for modern deep-learning frameworks, Quby streamlined infrastructure and accelerated ML development. The change cut DevOps time, let a slim team manage the full data-science stack, reduced costs through auto-scaling and Spot instances, and enabled low-latency streaming alerts for users.

Quby

Steven Galsworthy

Head of Data Science