Fraud Detection · Real-time Analytics
Quago is leveling the playing field within the online game industry with an in-game behavioral analytics platform designed to mitigate cheating and fraudulent activity to ensure the best gaming experience possible. Through the analysis of players’ device sensor data, Quago can quickly identify patterns and provide game companies actionable insights around cheating, churn and player behavior.
Reported impact
Reported outcomes include 4x Faster SQL queries compared to a vanilla Parquet lake; 25% Estimated reduction in gaming company server costs; 10s of millions Potential dollar savings by reducing in-app purchase losses due to fraud.
Quago is leveling the playing field within the online game industry with an in-game behavioral analytics platform designed to mitigate cheating and fraudulent activity to ensure the best gaming experience possible. Through the analysis of players’ device sensor data, Quago can quickly identify patterns and provide game companies actionable insights around cheating, churn and player behavior. Seeking cost-effective scaling and infrastructure management, Quago migrated to the Databricks Data + AI Platform. As a result, they experienced significant improvements in performance and scalability, achieving 4x faster SQL queries compared to their previous lake infrastructure. This resulted in reduced server costs for their customers and potential savings of tens of millions of dollars by lessening in-app purchase losses due to fraud.
Transaction, dispute, and event data lands in Databricks, is transformed in Delta Lake tables, and is served to downstream users and applications through Databricks SQL.
10s of millions Potential dollar savings by reducing in-app purchase losses due to fraud
25% Estimated reduction in gaming company server costs
4x Faster SQL queries compared to a vanilla Parquet lake
Quago is leveling the playing field within the online game industry with an in-game behavioral analytics platform designed to mitigate cheating and fraudulent activity to ensure the best gaming experience possible.
Through the analysis of players’ device sensor data, Quago can quickly identify patterns and provide game companies actionable insights around cheating, churn and player behavior.
Review how this reference was scored and trace each normalized claim back to its documented source.
Scoring methodology
Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.
Traceability
Field coverage shows which facts each source supports. Dates are shown only when documented by the source.
The policy page gives the mailing address 'Moria 74, Haifa, 3461305, Israel.'
Related
Databricks Sample Dec 11, 2025 IndusInd Bank IndusInd Bank needed a better way to support real-time banking analytics, hyper-personalization, and AI-first decisioning because the legacy warehouse could not refresh, unify, or operationalize enterprise data fast… 1,200+ reports and dashboards supported Agent Bricks · Databricks Data + AI Platform · Delta Lake Databricks Sample Dec 6, 2024 Worldline Worldline needed a better way to support merchant analytics, churn prediction, and fraud-aware payment intelligence because multiple acquisitions left the payment business with disconnected systems that could not unify… 40% increase in scheme reporting Databricks Data + AI Platform · Delta Lake · Genie Databricks Sample Jan 17, 2024 Housing.com Housing.com needed a better way to support real estate pricing intelligence, personalization, and fraud-aware demand forecasting because rapidly growing property, buyer, and renter data stayed stuck in silos, which… 10%–15% Databricks Data + AI Platform · Delta Lake · Delta Sharing 