Databricks
398 Case Studies
A Databricks Case Study
Traveloka, a leading Southeast Asian online travel unicorn with operations across the region and partnerships spanning hundreds of airlines and accommodations, needed to scale its analytics to support market and operational reporting, customer churn prevention, and user-experience optimization. Its self-managed Hadoop cluster—provisioned with a mix of Ansible playbooks and Ambari—made infrastructure management complex and slowed data ingest, ETL, exploratory analysis and prototyping workflows.
By moving to Databricks’ managed analytics platform, Traveloka unified data ingest/ETL, notebook-based exploration, and ML prototyping on a single, scalable environment. The shift simplified provisioning and operations, accelerated time-to-insight for reporting and experimentation, and enabled faster development of churn-prevention and UX-optimization models.