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Title

Quago builds ML behavioral analytics on Databricks to detect fraud and cheating in online games

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…. Inability to scale data ingestion and accuracy hinders gaming fraud detection Through advanced ML technology, Quago analyzes players’ device sensor data to provide gaming companies with real-time insights on cheating, churn prediction, user acquisition (UA) fraud and other behavioral patterns. Of course, doing so requires the ingestion and management of vast amounts of da…

Description

Quago analyzes over 200 device-sensor data points per player swipe using machine learning models built on Databricks Delta Lake and Spark to detect cheating, churn and user-acquisition fraud in real time for gaming companies. Migrating from a vanilla Parquet data lake to Databricks let Quago run SQL queries 4x faster, reduced customers' server costs by an estimated 25%, and is projected to save gaming companies tens of millions of dollars in in-app purchase fraud losses.

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…anular way,” said Dan Blechner, Co-founder and Chief Product Officer at Quago. “Each swipe on the screen generates more than 200 data points.” Cheating detection is a significant offering for Quago’s customers. Every succ…
…mer Stories / Quago CUSTOMER STORY Leveling up fraud detection in online gaming 4x Faster SQL queries compared to a vanilla Parquet lake 25% Estimated reduction in gaming company server costs 10s of millions Potentia…

Company

Quago

classification · high
…llions 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…

Industry

Media & Entertainment

classification · high
…d lifetime value. Learn more about the Quago platform . Share this post Details Industry : Cybersecurity , Media & Entertainment Cloud : AWS Product : Databricks SQL , Delta Lake Ready to get started? Try Dat…

Problem

Quago originally used a vanilla Parquet lake that was costly to scale due to performance, storage efficiency and query optimization challenges, and struggled with cost-effective scaling and the resource-intensive nature of managing infrastructure for both performance and availability with a small engineering team.

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…of this data within a budget that’s relevant for the magnitude of the problem.” Quago originally used a vanilla Parquet lake, which was costly to scale due to performance, storage efficiency and query optimization challenges. Struggling with cost-effective scaling and the resource-intensive nature of man…

Solution

Quago migrated its data pipeline into Databricks Delta Lake, using Databricks SQL and Apache Spark on top of Delta Lake to build, retrain and launch ML fraud, cheating and churn-detection models, updating models per customer and app as often as three times a week.

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…sensor data, metadata and the game data itself, is managed there,” said Green. “On top of Delta Lake, we have a Spark logic in order to build the models, retrain them, do research and launch more models.” What would managing Spark with this amount of data be like without a managed p…

Business value

Quago achieved 4x faster SQL queries compared to its previous vanilla Parquet lake, reduced customers' server costs by up to 25%, and estimates its fraud mitigation will reduce customer in-app purchase losses by tens of millions of dollars, while keeping a small, efficient engineering team.

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…tivities than the usual player, and this requires more from the gaming server.” The Quago team has seen a reduction of up to 25% in their customers’ server costs. Once the Databricks Data + AI Platform is fully deployed, Blechner believes tha…

Technology

Databricks SQL, Delta Lake, Apache Spark

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…this post Details Industry : Cybersecurity , Media & Entertainment Cloud : AWS Product : Databricks SQL , Delta Lake Ready to get started? Try Databricks for free Learn more about our product Talk…

AI capabilities

Fraud & Anomaly Detection, Machine Learning

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…. Inability to scale data ingestion and accuracy hinders gaming fraud detection Through advanced ML technology, Quago analyzes players’ device sensor data to provide gaming companies with real-time insights on cheating, churn predicti…

Use case type

Fraud and anomaly detection

classification · high
…tion Through advanced ML technology, Quago analyzes players’ device sensor data to provide gaming companies with real-time insights on cheating, churn prediction, user acquisition (UA) fraud and other behavioral patterns. Of course, doing so requires the ingestion and m…

Headline outcome

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…mer Stories / Quago CUSTOMER STORY Leveling up fraud detection in online gaming 4x Faster SQL queries compared to a vanilla Parquet lake 25% Estimated reduction in gaming company server costs 10s of millions Potentia…

Deployment model

cloud

classification · high
…form . Share this post Details Industry : Cybersecurity , Media & Entertainment Cloud : AWS Product : Databricks SQL , Delta Lake Ready to get started? Try Databricks for…

Deployment options

cloud

classification · high
…form . Share this post Details Industry : Cybersecurity , Media & Entertainment Cloud : AWS Product : Databricks SQL , Delta Lake Ready to get started? Try Databricks for…
Capture details
Captured
11 Sept 2026, 06:06 UTC
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fetch-strip@1
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5d4e6dd91512cbfc353ff6ab292f35408f9db71130b4a06a85103604721d645c