Case Study: OpenAI scales governed multi-cloud analytics and AI with Databricks

OpenAI eliminates $400K/month in storage costs with Databricks

OpenAI, the creator of ChatGPT, needed a governed, multi-cloud data platform that could support the massive and rapid scaling of its services. Facing challenges related to managing data across Azure and AWS for analytics, security, and operations, the company turned to the Databricks Lakehouse Platform to build a trusted foundation for its entire data estate.

The solution from Databricks provided a unified platform using Delta Lake and Unity Catalog for governance. This enabled OpenAI to run critical workloads, from security threat detection to marketing analytics, efficiently across multiple clouds. As a result, Databricks helped OpenAI's marketing team eliminate $400,000 per month in storage costs, and the deep engineering partnership accelerated feature development, proving that frontier AI can operate on a governed data foundation.

OpenAI