“We literally don’t really think about the pipelines anymore. If the studio adds a new event or series of events, Spark Declarative Pipelines just handles it.” – Felix Baker, Head of Data Services, SEGA Europe

Discover how SEGA is turning massive volumes of live game telemetry into real-time insights using Lakeflow Spark Declarative Pipelines (SDP), powering better player experiences, smarter decisions and major cost savings at scale.

Key highlights: 

• 4x infrastructure cost reduction:Replaced a complex, always-on streaming stack with Lakeflow SDP, cutting pipeline infrastructure costs by approximately 4x.
• Sub-5-minute data latency from game to insight: Game events flow from consoles and platforms into actionable dashboards and models in under five minutes, enabling rapid, data-driven decisions.
• 40k events per second across 40M+ players: Processes ~40,000 events per second from 450+ event types and 140+ games, all orchestrated through Lakeflow SDP on Databricks.
• Automated, low-maintenance pipelines: SQL-first, declarative pipelines handle schema changes, bad data, stream grouping and scaling automatically, so teams “don’t really think about the pipelines anymore.”
• Better gameplay and player engagement: Real-time insights drive game balancing, feature ROI analysis, churn and retention modeling, and highly targeted marketing and CRM use cases.

Want to simplify streaming at scale and unlock real-time insights from your own event data? Check out the complete story here. 

Learn more about Lakeflow Spark Declarative Pipelines and how it can modernize your data pipelines.