InMobi's Transition to Databricks Lakehouse: A Case Study on Streamlining Data Processing and Enhancing Advertising Effectiveness

InMobi, a company specializing in targeted mobile advertising, was grappling with the challenges of managing a complex legacy infrastructure and a multicloud data warehouse. The company's data processing requirements had escalated to 20+ terabytes per hour, leading to skyrocketing costs and the creation of data silos that hindered collaboration and data sharing. The proprietary nature of their multicloud data warehouse also posed significant challenges. InMobi's existing system was overly complex, prone to outages, and extremely costly to scale. The company realized that their current system was slowing down their ability to innovate and was keeping their engineering resources tied up in maintenance tasks. InMobi sought a single system that could address multiple issues, consolidate their disjointed systems into a single platform, and free up their engineers to focus on higher-value tasks such as developing machine learning and large language models.

InMobi is a global provider of enterprise platforms for marketers, specializing in mobile advertising. The company helps brands reach and engage consumers in a meaningful and cost-effective way by delivering targeted and personalized content, particularly on mobile devices. InMobi uses real-time customer data to drive engagement and deliver relevant ads. However, as the company's data processing requirements increased, they faced challenges with their existing multicloud data warehouse system. The company sought a solution that would streamline operations, reduce costs, and improve collaboration and data sharing. InMobi's goal was to free up their engineers to focus on higher-value tasks and improve operational agility and efficiency.