Databricks for Gaming

All your game analytics, data and AI on one platform. Learn how Databricks can help you know, grow and retain engaged players.

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Meet Data Lakehouse: The best of both worlds in one platform

A data lakehouse unifies the best of data warehouses and data lakes in one simple platform to handle all your data, analytics and AI use cases. It’s built on an open and reliable data foundation that efficiently handles all data types and applies one common security and governance approach across all your data and cloud platforms.

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Why Databricks for Gaming?

Create better in-game experiences

Bring together all your structured and unstructured data in a single platform to gain real-time insights you can act on.

Drive stronger business outcomes through collaboration

Databricks’ collaborative workspace for data and AI means teams can innovate and deploy solutions faster.

Scale based on your game

Databricks helps you automatically scale your data workloads based on game traffic to avoid over-provisioning and paying for wasted compute.

Leverage pre-built models for ML and AI

Databricks has a collaborative notebook environment with managed runtime for machine learning models, as well as Solution Accelerators for common use cases including customer lifetime value, churn prediction and toxicity detection.

Databricks for Gaming use cases

Use Databricks in pre-production to accelerate your development and create a tighter game loop. Then leverage the 360-degree view of your players to drive more effective engagement and monetization over time.

Game development lifecycle

Use big data and AI to drive game design through enhanced insights and predictive intelligence

  • Game design
  • Game balancing
  • Game play insights
  • Image analytics/toxicity analysis
  • Loyalty promotions

Gamer acquisition and experience

Create a personalized, frictionless journey to move gamers from anonymous to superfan

  • Ad click-through analysis
  • Real-time ad targeting
  • Recommendation engine
  • Churn prediction and prevention
  • Quality of service analysis

Gamer monetization and sentiment

Leverage insights to increase gamer lifetime value, find look-alike gamers and drive growth

  • Player 360/gamer lifetime value
  • Player performance tracking
  • Product placement and pricing
  • Social sentiment analysis
  • Next best offer/product

Creating an optimal in-game experience for SEGA

“With Databricks Lakehouse, we have access to data inputs across our entire player community, gaining insights that we can quickly build into new features they’ll love.”

— Felix Baker, Data Services Manager, SEGA Europe

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Databricks for Gaming in action

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