Bengaluru– Databricks, a Data and AI company, has announced a major strategic partnership with Google Cloud to integrate the latest Gemini 2.5 models directly into the Databricks Data Intelligence Platform. This move enables organizations to build, deploy, and scale generative AI agents using Google’s advanced Gemini capabilities on their enterprise data within a secure, governed, and unified environment.
The new integration will allow Gemini models, including Gemini 2.5 Pro and Gemini 2.5 Flash, to function as native components within Databricks. Customers can interact with these models directly through SQL queries and model endpoints, eliminating the need for data replication or complex third-party integrations. Billing for Gemini usage will also be handled via existing Databricks contracts, making adoption simpler and more efficient.
Addressing Data Integration Concerns
As enterprises increasingly seek to extract value from data through AI, they face challenges related to data movement, fragmented systems, and compliance concerns. The expanded partnership between Databricks and Google Cloud addresses these issues.
By combining Databricks’ unified data and AI infrastructure with Gemini’s language models, organisations can develop and scale domain-specific AI agents capable of handling complex datasets and executing multi-step reasoning with large context windows.
The newly introduced ‘Deep Think’ mode in Gemini 2.5 offers enhanced performance for sophisticated tasks, enabling AI agents to deliver context-rich, accurate insights based on live enterprise data.
Accelerating the Future of Enterprise AI
This expanded partnership signals a shared commitment by Databricks and Google Cloud to democratize access to generative AI. By bringing together best-in-class data infrastructure and world-leading AI models, the collaboration sets a new standard for secure, scalable AI deployment in the enterprise.
