Case Study: FunPlus achieves faster player insights and personalized gaming with Databricks

A Databricks Case Study

Preview of the FunPlus Case Study

FunPlus uses Databricks to enhance player engagement with data dashboards

FunPlus, a global gaming company with millions of daily users, was struggling with a legacy data warehouse, fragmented data sources, security and ETL issues, and slow manual processes that limited data visibility and decision-making. Using Databricks and help from Koantek, the company needed a unified platform to streamline data access, automate ETL, and support ML workflows while improving player personalization and operational efficiency.

Databricks implemented the Databricks Data Intelligence Platform, including Delta Lake, SQL Serverless, Unity Catalog, MLflow, and GenAI tools like AI/BI Genie and Streamlit. The result was centralized data management, stronger governance, faster analytics, and better collaboration, with serverless compute powering 80% of workloads and reducing the need for extra tools. FunPlus now generates real-time dashboards and deeper player insights more quickly, helping improve gaming experiences and support data-driven decisions.


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FunPlus

Chen Chao

Data Platform Lead


Databricks

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