Case Study: Zalando achieves faster, more secure analytics and 50% AWS cost savings with Starburst Data

Zalando Powers Data Analytics and Reduces Costs with Starburst and AWS

Zalando, Europe’s leading online fashion and lifestyle platform, needed a more efficient way to analyze its growing AWS S3 data lake after moving away from legacy data warehouses. The company’s analysts and buyers required fast, reliable access to distributed data for business intelligence and machine learning, and its open source Trino deployment could not provide the enterprise security, stability, and support it needed. Zalando turned to Starburst Data and Starburst Enterprise to help solve these challenges.

With Starburst Data’s Starburst Enterprise on AWS, Zalando gained fine-grained security, role-based access control, enterprise support, and stable, high-performance SQL querying for its data lake. The platform enabled self-service BI, improved query speed, and autoscaling that cut AWS compute costs by 50%. Zalando also noted growing user adoption and positive feedback, with Trino queries now faster and more widely used across the business.

Zalando

Alberto Miorin

Engineering Lead