Devsisters delivers a better gaming experience with Databricks
Devsisters· South KoreaDatabricks SQL · Delta Lake · Apache Spark
Devsisters, maker of the Cookie Run mobile game franchise with over 200 million users, replaced its costly on-premises analytics infrastructure with the Databricks Data + AI Platform on AWS to analyze in-game activity and player data at scale. This reduced development time by 30% and improved query performance/analysis speed by 200%.
Overview
Devsisters, maker of the Cookie Run mobile game franchise with over 200 million users, replaced its costly on-premises analytics infrastructure with the Databricks Data + AI Platform on AWS to analyze in-game activity and player data at scale. This reduced development time by 30% and improved query performance/analysis speed by 200%.
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Inspect the highlighted sourceThe challenge
As data continued to grow along with an increase in players, Devsisters' on-premises platform had performance issues and was complex to manage as well as costly to maintain. The company needed a new data analytics platform that data platform engineers and data scientists could use to analyze big data more quickly and seamlessly.
The solution
The company implemented the Databricks Data + AI Platform, which stores, understands and analyzes all data types for downstream analytics and machine learning. Devsisters initially used the data lake to create a statistical model that predicts the lifetime value derived from the entire game process, from users entering the game to payment. The solution combines log ETL jobs, predictive modeling, data visualization and dashboards for business intelligence analysts, in one single platform.
Reported business value
Devsisters has simplified data analysis, reducing development time by 30% and enhancing query performance by 200%. A game like Cookie Run: Kingdom processes more than 10TB every day, and data engineers can now process and analyze game player data 200% faster than before. Queries that used to take one minute now take under 20 seconds.
Sources
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