Case Study: Foursquare achieves 45% lower data analytics costs with Amazon Web Services

Foursquare Modernizes Data Analytics Using Amazon EMR Serverless and Reduces Costs by 45%

Foursquare, a geospatial technology company, processes billions of data points daily and needed to keep its privacy-focused data pipelines efficient while scrubbing personally identifiable information. After earlier migrations to AWS, it looked for a simpler way to run these analytics workflows and reduce the operational burden of managing clusters.

Using Amazon Web Services and Amazon EMR Serverless, Foursquare moved its data scrubbing pipelines to a serverless setup in just two months. The change simplified cluster management and helped Foursquare reduce costs by 45% while continuing to convert more pipelines to Amazon EMR Serverless.

Foursquare