Case Study: Big Fish Games achieves near-real-time analytics and faster game launches with Snowflake

Big Fish Games Launches and Develops Games Faster With Snowflake

Big Fish Games, a Seattle-based developer and publisher of popular casual mobile titles played by millions, needed faster insights into player engagement to tune live game events. Slow ETL jobs and a centralized data team created day-long delays and a bottleneck for LiveOps and external development partners, while sharing governed data across cloud providers remained cumbersome.

By moving analytics workloads to Snowflake while staying on GCP, Big Fish enabled secure multi-cloud data sharing, provisioning separate warehouses and Looker access so third-party studios work autonomously without copying data. The company gained near-instant elasticity and streaming analytics—cutting time-to-analytics for new in-game missions by 99%, shifting feedback from days to hours, accelerating game activations from weeks/months to days, and removing the prior data bottleneck.

Big Fish Games

Glen MacKay

Senior Manager, Data Engineering