Case Study: Booking.com accelerates data analysis and innovation with Confluent

A Confluent Case Study

Preview of the Booking.com Case Study

Booking.com Trades Kafka Operations for Faster Innovation With Confluent

Booking.com, one of the world’s largest online travel agencies, needed a more scalable way to support its growing data streaming needs. Its self-managed Apache Kafka setup was requiring significant operational effort, slowing the team’s ability to innovate and expand analytical workflows, personalized marketing, and seamless booking experiences.

To solve this, Booking.com moved business-unit clusters to Confluent Platform, gaining a more reliable, enterprise-ready data streaming platform with better data management and easier scalability. With Confluent, Booking.com streamlined development, freed engineering resources, and enabled new use cases like the “connected trip” experience; the platform also supported finance and data security teams with well-governed data products and laid the groundwork for future cloud migration.


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Booking.com

Maxim Foursa

Senior Engineering Manager


Confluent

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