Case Study: InMobi achieves lower costs and faster analytics with Databricks

Driving meaningful connections between customers and brands

InMobi, a mobile advertising company, needed to handle rapidly growing data processing demands of 20+ terabytes per hour while reducing the high cost and complexity of its multicloud data warehouse. The proprietary setup also created data silos that made collaboration and data sharing difficult.

InMobi migrated to Databricks and its lakehouse platform to unify data warehousing, AI, and analytics, using tools like Databricks SQL, notebooks, MLflow, Spark Declarative Pipelines, and Unity Catalog. With Databricks, InMobi cut infrastructure costs by 34%, lowered total cost of ownership by 32%, improved query speeds by 15%, reduced job failures by 20%, and reduced ETL pipeline costs by 24%, while also boosting reporting performance by 20%.

InMobi

Mohit Saxena

Co-founder and Group CTO