Goodgame Studios Leverages MapR's Solutions to Enable Real-time Analytics and Personalized Gaming Experience on a Single Cluster

By CIOReview | Tuesday, November 24, 2015

FREMONT, CA:  Goodgame Studios, a free-to-play online game development company to consolidate its several clusters into a single cost-effective and high-performance MapR cluster featuring Hadoop, Apache Spark and Apache Drill. To improve the gaming experience for Goodgame Studios’ 270 million registered users worldwide, MapR will help the gaming company to deploy a single open platform that can quickly and easily integrate new technologies, respond to gamer behavior in real-time, reduce costs and increase performance.

Now, Goodgame Studios will be using Apache Mesos instead of YARN as its general resource management system and rely on Spark as its computational and analytics engine. With the seamless integration of HP Vertica and Drill into the MapR platform as SQL query engines will also enable Goodgame Studios to immediately explore data managed in MapR-DB, the NoSQL database. The multi-tenant capabilities in MapR combined with its encryption and granular access control features also make it easier for Goodgame Studios to ensure against unauthorized data access.   

Shift from a multi-cluster Hadoop solution to a single MapR cluster with Hadoop and Spark will enable the gaming company to build a consolidated, co-located data platform with scalable storage as well as the computational engines without any kind of bottlenecks. With real-time analytics and recommendations powered by Apache Spark, Goodgame Studios will get immediate access to customer responses as when changes will be made to its massive multiplayer online (MMO) games.

Furthermore, to speed the application development cycle with the easy-to-use JSON paradigm, Goodgame Studios also plans to implement the recently announced in-Hadoop document database capabilities.

From an IT perspective, we wanted the simplest way to maintain the different components such as file systems, databases, and compute engines. We needed an open platform so we can implement any kind of software and introduce new technology components whenever we wanted to. We could not do this with other Hadoop distributions. With MapR, there are no limits on opportunities. If something comes out that's new, we can use it immediately, we don’t have to wait,” says Andreas Scheel, senior data warehouse development, Goodgame Studios.