By Kasturi Datta |
Databricks and Microsoft are expanding their partnership into the 2030s, with a joint goal of helping enterprise customers scale their use of AI.
Data platform provider Databricks will deepen its use of Azure Databricks to run its own core business operations and analytics, and will use Microsoft’s new Arm-based Azure Cobalt 200 processors to optimise performance and efficiency.
Microsoft will continue to integrate the Databricks Data and AI platform across its products, making capabilities like Genie, Databricks’ AI co-worker, more accessible to customers.
“For nearly a decade, Databricks and Microsoft have helped enterprises innovate with data and AI,” said Ali Ghodsi, co‑founder and CEO of Databricks. “Today, our partnership is stronger than ever. With Databricks Genie and Unity AI Gateway deeply integrated across Microsoft’s products, we’re helping enterprises unify their data and ground AI in business knowledge. This lets customers get the full benefits of agents and models while controlling costs and ensuring governance.”
‘We’re helping enterprises unify their data and ground AI in business knowledge,’ said Ali Ghodsi of Databricks (Image: Databricks)
“The next generation of AI will be defined by how effectively organisations turn their unique knowledge into intelligence,” said Judson Althoff, CEO of Microsoft Commercial Business. “Microsoft and Databricks are helping customers connect data, AI and business context to accelerate decision-making and drive measurable impact. With Databricks deepening its investment in Azure Databricks and Azure Cobalt-powered infrastructure, customers will benefit from greater performance, efficiency and scale for their most demanding workloads. Databricks’ decision to run its own core business operations on Azure Databricks also gives customers confidence in a platform proven at enterprise scale.”
Customers including Banco Bradesco, the Cincinnati Reds, Electrolux, SMBC and Unilever already use Azure Databricks.
Read more: SMBC powers data-driven decision-making with Azure Databricks (Microsoft.com, 17 June 2026)