Case Study: Eneco achieves real-time, AI-powered connected-home services with Databricks

Powering the Connected Home with AI

Eneco, a Dutch energy supplier behind the Toon connected‑home platform, manages data from 300+ sensor types and petabytes of customer energy usage to support smart home services. Their on‑premises Hadoop stack was costly and labor‑intensive to maintain, and teams struggled to ingest and process streaming IoT data reliably for collaborative, scalable machine learning—slowing innovation as they scaled across Europe.

By moving to the Databricks Lakehouse (Delta Lake on S3/AWS) Eneco unified batch and streaming data, simplified pipelines, and enabled collaborative notebooks for engineers and data scientists. The platform delivered low‑latency ML services—such as 10‑second appliance consumption detection and heating anomaly alerts—freed the team from infrastructure overhead, accelerated product development, and scaled services to hundreds of thousands of connected homes with lower operational cost.

Eneco

Stephen Glasworthy

Head of Data Science