Case Study: Bagelcode achieves 100% annual growth and real-time, insight-driven dashboards with Databricks Lakehouse Platform

Powering insight-driven dashboards to increase customer acquisition

Bagelcode is a global social-casino game company with over 50 million users that found its Kinesis Firehose + Redshift stack unable to scale as game telemetry and analytics needs exploded. As the business launched new titles and publishing efforts, data volumes grew nearly 1,000x and employees demanded many more behavioral indicators and dashboards to predict DAU/MAU, revenue, and churn—exposing the need for a more scalable, real-time data infrastructure.

The company implemented the Databricks Lakehouse Platform on AWS (Delta Lake, ETL, ML), separating compute from storage to support automated hourly and daily updates across 800+ dashboards and production models for churn, payer, and lifetime-value prediction. The platform handled petabyte-scale data with unchanged pipeline cadence, cut cross-team friction, enabled faster decisions, improved acquisition and retention, and helped drive a 100% average annual growth rate.

Bagelcode

Joohyun Kim

Vice President