Case Study: KuKu achieves faster, cost-efficient personalized listening experiences with Databricks

Personalizing audio and video storytelling at scale

KuKu, one of India’s fastest-growing streaming platforms for audio content and mobile-first microdramas, was struggling to keep up with rapid user growth on an infrastructure that could not deliver fast, cost-effective analytics. The team needed quicker insights to improve customer experiences, support over 100 dashboards, and power personalized recommendations, but critical business questions could take one to two days to answer, and costs and governance complexity were rising. Databricks Data Intelligence Platform on Google Cloud was the product/service used to address these challenges.

By migrating to Databricks, KuKu became a more data-first organization with near real-time processing of streaming events, flexible support for ML recommendation models, and stronger data governance and access controls. Databricks helped the company deliver critical business insights in under 2 hours instead of 1–2 days, power 100+ dashboards, and cut analytics costs per user by two-thirds, enabling faster decisions and better personalization at scale.

KuKu

Vishal Sarkar

Head of Analytics