Databricks and Google Cloud Deepen Partnership to Bring Gemini AI Models Natively to the Databricks Data Intelligence Platform
Databricks, the Data and AI company, today unveiled a strategic product collaboration with Google Cloud that will integrate the latest Google Gemini models directly into the Databricks Data Intelligence Platform. This integration enables enterprises to securely build, deploy, and scale AI agents using Gemini’s powerful capabilities all within a unified, governed environment built around their proprietary data.
As organizations increasingly look to harness the power of AI to unlock insights from enterprise data, they face significant hurdles in maintaining data security, compliance, and operational efficiency. Traditional approaches often require shifting data between systems or dealing with inconsistent governance frameworks. Since 2021, Databricks and Google Cloud have been working together to bring data scalability to customers on Google Cloud. This expanded partnership takes that collaboration a step further by seamlessly combining Databricks’ unified platform with Gemini’s cutting-edge AI models.
The Gemini 2.5 model family marks a significant evolution in AI performance, offering superior reasoning, multi-step decision-making, and natural language understanding. The latest iterations Gemini 2.5 Pro and Gemini 2.5 Flash now lead the industry across various performance benchmarks. Additionally, Databricks customers will benefit from the new “Deep Think” mode, which supports advanced reasoning capabilities along with enterprise-grade security protections. Because Gemini models are now native to the Databricks platform, users can access them directly through SQL queries and model endpoints — eliminating the need for third-party integrations or redundant data movement. Usage of Gemini will also be available under existing Databricks contracts for simplified procurement.
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“By using Google’s Gemini models directly on the Databricks Data Intelligence Platform, organizations can build and scale AI agents tailored to their specific domains and data,” said Ali Ghodsi, Co-founder and CEO of Databricks. “Gemini is advancing at an impressive rate, and it’s no surprise that enterprises everywhere are seeing value from these models.”
“Our partnership with Databricks is another critical step in helping every enterprise transform their businesses with generative AI,” said Thomas Kurian, CEO of Google Cloud. “By providing Databricks customers with direct access to Gemini’s advanced capabilities, customers can more easily build and deploy sophisticated AI agents, automate complex data workflows, and uncover more predictive insights from their own data, accelerating innovation at scale.”
Key Features of the Partnership:
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Seamless Integration: Gemini models are now native to the Databricks Data Intelligence Platform, enabling secure, real-time interaction with enterprise data no duplication required.
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Purpose-Built AI Agents: Businesses can leverage Gemini to develop AI agents customized for domain-specific tasks and complex datasets, with enhanced reasoning and context capabilities.
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Unified Governance: With Databricks Unity Catalog, users benefit from consistent data governance, access controls, and responsible AI policies across their environment.
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Productivity at Scale: AI agents powered by Gemini can automate workflows, provide contextual insights, and streamline decision-making using the most current data available.
This partnership reinforces the shared vision of Databricks and Google Cloud to simplify and scale enterprise AI adoption enabling organizations to unlock the full potential of their data with intelligent, secure, and scalable solutions.