Case Study: Zoosk (online dating site) achieves faster matchmaking and 10% lower churn with Cloudera Enterprise

Zoosk - Customer Case Study

Zoosk is a global online dating service serving more than 38 million singles across 80 countries, with features like photo verification and millions of daily interactions. The company faced a scalability challenge: traditional databases couldn’t store or process the volume of behavioral and event data needed to personalize search results and speed matchmaking—about 5 TB processed daily and over 1 PB stored.

Zoosk built an enterprise data hub on Cloudera Enterprise using Hadoop technologies (Hive, Impala, HBase, Spark, Parquet) to ingest, analyze, and model large and unstructured data sets. The platform enabled faster A/B testing and machine learning-driven search ranking, delivering up to 80x faster processing, improving search accuracy, and reducing dissatisfied user churn by 10%, while letting product teams iterate more quickly.

Zoosk

Marilson Campos

Senior Data Architect