Case Study: Jam City achieves minutes-level ETL and personalized, data-driven gaming with Databricks

Jam City - Customer Case Study

Jam City is a global mobile games studio behind hits like Cookie Jam, Panda Pop and licensed titles for major franchises. They ingest hundreds of thousands of gameplay records per second but were held back by legacy data warehouses that didn’t scale, required heavy compute management, produced 24‑hour ETL cycles, and limited iterative machine learning.

By adopting Databricks’ unified, fully managed analytics platform—featuring auto‑scaling clusters, Delta Lake for reliable ETL, and collaborative notebooks—Jam City cut ETL times from 24 hours to minutes, accelerated data‑driven decisions, and boosted data science productivity by about 15%, enabling faster model deployment and more personalized player experiences.

Jam City

Eric Wasserman

Senior Architect