Case Study: Amadeus achieves secure data democratization and personalized travel experiences with Databricks

Optimizing global journeys through secure data connectivity

Amadeus, a global travel technology provider serving airlines and hotels in more than 190 countries, needed to move to the cloud and improve data management to handle massive data volumes, control costs, and deliver more personalized travel experiences. The company turned to Databricks and the Databricks Data Intelligence Platform on Azure to support secure data sharing and a data mesh approach.

Using Databricks, Amadeus built integrated ETL pipelines and improved visibility across passenger journeys, helping it predict traveler behavior and demand more accurately. The result has been faster data processing and greater platform efficiency, with 100 use cases in production, 950 internal users, and more than 20,000 clusters and 60,000 virtual machines managed daily by Amadeus, while Databricks continues to support further innovation and personalization.

Amadeus

Jost Meye