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Title

Mojang Reduces Processing Time 66% With Azure Databricks

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Mojang Reduces Processing Time 66% With Azure Databricks | Databricks Skip to main content Login Why Databricks Discover For App Develop…

Description

Mojang Studios, developer of Minecraft (over 300 million copies sold), migrated from Azure HDInsight and Apache Hive to Databricks on Azure to unify data science workflows for player telemetry analysis and personalized content recommendations in the Minecraft Marketplace, plus social-media sentiment analysis via Azure Cognitive Services. This reduced data processing time by 66%, delivered 2.5x better AI content recommendations, and cut compute costs by 20%.

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…ons² 20% Cost reduction compared to previously utilized standard VM Watch video With over 300 million copies sold, Minecraft is the best-selling video game of all time and continues to grow after nearly 15 years since the game first launched. Moja…
…ries / Mojang Studios CUSTOMER STORY Driving gamer personalization for millions 66% Reduction in data processing time¹ 2.5x Better AI content recommendations² 20% Cost reduction compared to previous…

Company

Mojang Studios

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…time and continues to grow after nearly 15 years since the game first launched. Mojang Studios, the studio that develops the game, continually collects game and player telemetry data so that it can make Minecraft even better. That’s a massive challenge because Minecraft uses an open-sandbox format, in wh…

Industry

Media & Entertainment

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…. heuristic or manually curated content recommendations Share this post Details Industry : Media & Entertainment Use Case : Data Science Cloud : Azure Product : Delta Lake , Agent Bricks Ready…

Problem

As the size of the Minecraft player base grew, the combination of virtual machines, Azure HDInsight and Apache Hive struggled to scale. Data scientists needed to download individual data sets from relational databases and coalesce them in virtual machines, collaboration was limited because they coded in different languages, and data scientists were forced to narrow their analysis to a single day of behavioral data for many analyses.

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…ata using virtual machines, Azure HDinsight and the Apache Hive data warehouse. As the size of the Minecraft player base grew, this combination of technologies struggled to scale. Before they could analyze data and create models, the company’s data scientists…
…n ad hoc basis. Processing data in Hive for data science purposes was slow, and data scientists were forced to narrow their analysis to a single day of behavioral data for many analyses. “The reality of video games is that we need to analyze data on a time series ba…

Solution

Mojang Studios' main machine learning and AI use cases revolve around optimizing recommendations in Minecraft Marketplace. The company uses algorithms that borrow best practices from several industries to deliver personalized recommendations for millions of players each day. A similarity search engine, powered by several Microsoft algorithms, lets players click on similar content that will enhance their gaming experience. Mojang Studios also integrated its Databricks environment with Azure Cognitive Services to use natural language processing to gauge what 130 million users are saying on social media.

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…I use cases revolve around optimizing recommendations in Minecraft Marketplace. The company uses algorithms that borrow best practices from several industries to deliver personalized recommendations for millions of players each day. A similarity search engine, powered by several Microsoft algorithms, lets playe…
…tries to deliver personalized recommendations for millions of players each day. A similarity search engine, powered by several Microsoft algorithms, lets players click on similar content that will enhance their gaming experience. “These algorithms were basically plug-and-play in the Databricks environment,”…
…of work was cumbersome before, but now it’s totally integrated with the game.” Mojang Studios has also integrated its Databricks environment with Azure Cognitive Services, which lets the data team use natural language processing to gauge what 130 million users are saying on social media. “The Azure Cognitive Services API worked seamlessly with Databricks,” said Rius…

AI capabilities

Recommendation & Personalization, Predictive Analytics

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…tries to deliver personalized recommendations for millions of players each day. A similarity search engine, powered by several Microsoft algorithms, lets players click on similar content that will enhance their gaming experience. “These algorithms were basically plug-and-play in the Databricks environment,”…

Technology

Delta Lake, Apache Spark, Azure Cognitive Services

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…assive amounts of data it was collecting. In the end, Rius and his team decided they needed an Apache Spark™ engine at the core of their new solution. Based on recommendations from former employees, they launched a proof of conce…
…of work was cumbersome before, but now it’s totally integrated with the game.” Mojang Studios has also integrated its Databricks environment with Azure Cognitive Services, which lets the data team use natural language processing to gauge what 130 mil…

Deployment model

Azure

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…hare this post Details Industry : Media & Entertainment Use Case : Data Science Cloud : Azure Product : Delta Lake , Agent Bricks Ready to get started? Try Databricks for fr…

Deployment options

cloud

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…hare this post Details Industry : Media & Entertainment Use Case : Data Science Cloud : Azure Product : Delta Lake , Agent Bricks Ready to get started? Try Databricks for fr…

Headline outcome

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…iving gamer personalization for millions 66% Reduction in data processing time¹ 2.5x Better AI content recommendations² 20% Cost reduction compared to previously utilized standard VM Watch video With…

Use case type

Personalisation

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…rks to understand their behavior by collecting player data on its Bedrock game. Mojang Studios then uses data and AI to personalize the player journey by making content recommendations in Minecraft Marketplace. All the while, the studio harnesses technology to leverage social media and gau…
Capture details
Captured
19 Sept 2026, 19:42 UTC
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fetch-strip@1
Snapshot hash
cb37c3a7428fcc2c9ac2093f92bd414b72c8bf6ef0dd684bc6d9330e72a6b87f