Case Study: Viacom18 achieves 26% operational efficiency gain and faster personalized viewing with Databricks

Viacom18 - Customer Case Study

Viacom18, one of India’s fastest‑growing entertainment networks reaching 600+ million monthly viewers, faced scaling limits in its on‑premises Hadoop data lake as VOOT ingested 45,000 hours of daily content (700 GB–1 TB/day). The inability to process 90 days of rolling data within SLAs hampered analytics, personalization and drove up operational costs.

Partnering with Celebal Technologies to migrate to Azure Databricks and Delta Lake, Viacom18 modernized its data warehouse with cached queries, auto‑scaling clusters, and collaborative notebooks. The new platform sped up ETL and model development, lowered total cost of ownership, improved time‑to‑insight and boosted operational efficiency by about 26%, enabling more relevant, personalized viewing experiences and stronger ROI.

Viacom18

Parijat Dey

Assistant Vice President – Digital Transformation and Technology