Web 2.0 & Gaming

Who’s Winning with Vertica?

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Who's Winning With Vertica?

Watch the videos below to hear some of the success stories from the game changing community of Vertica users.

Social interaction and the relationship between customer and brand have never been more prevalent.  Capturing mouse-clicks, understanding relationships, and monetizing those behaviors in near real time is the apex of analytics.  Whether it’s customizing a portal for a customer’s online experience or engaging a customer with particular advertisements or offerings, real-time engagement based upon empirical data is critical to the success of gaming and web 2.0 companies.

The Vertica Analytics Platform enables gaming and web 2.0 organizations to analyze and make informed decisions in near real time with unparalleled efficiency, performance, and scalability.  Our gaming and web 2.0 customers and partners routinely address the following challenges:

  • Mine user behaviors and social networks for effective game development and monetization
  • Create a scalable data collection solution with event based processing and behavioral analysis
  • Load vast amounts of data while concurrently querying for in work-flow decisioning
  • Develop solutions that create simplicity for analysts versus technologists – analytics everywhere

Leveraging the Vertica Analytics Platform, our gaming and web 2.0 customers and partners derive benefits relating to capacity management, performance, scalability, and availability.  A few examples include:

  • Continuous, parallel load and analyzing event drive data 24 x 7
  • Linear load and query scalability as cluster resources are increased
  • Distributed MPP architecture providing an incredibly predictable query performance envelope
  • Analytics infrastructure capable of handling the volume and complexity of raw events generated by the game / application engine
  • Performance optimized high availability including a 100% peer to peer approach with a single unified grid and no single point of failure
  • Sessionization / tokenization enabling analysts to explore user behavior on a per customer / per interaction basis
  • Real time decision engine for A/B testing and new feature introduction / effectiveness