Databricks on Google Cloud: Innovate Faster. Smarter. Together.

Our presence at Google Cloud Next 2026 will showcase the latest Gemini integrations and the power of the Google Marketplace – where intelligence meets infrastructure to scale governed AI with Databricks and Google Cloud.

Since 2021, the partnership between Databricks and Google Cloud has evolved from a shared vision into a powerhouse for over 2,500 joint customers. But the conversation has shifted. It’s no longer just about moving data to the cloud; it’s about turning that data into autonomous intelligence.

Whether you are modernizing mission-critical workloads or launching your first fleet of AI agents, the goal remains the same: extracting maximum value from your proprietary data with zero friction. By combining the Databricks Platform with Google Cloud’s world-class infrastructure, we are helping enterprises move from "experimenting with AI" to "running an AI-driven business."

Where Intelligence Meets Infrastructure

In 2025, Databricks became a first-party provider of Gemini Models, one of only two places where Gemini model APIs are available outside of Vertex. By distributing Google’s frontier model natively in the Databricks platform, customers across all 3 Databricks clouds can securely build, customize and deploy agentic AI on governed enterprise data without ever moving data or managing infrastructure. By offering direct API access to Gemini models, Databricks users have full control of the end-to-end AI lifecycle—from data preparation to production inference.

Since launch, Gemini models on Databricks have seen rapid enterprise adoption, with over 55% quarter-over-quarter growth and strong demand to power diverse use cases including code generation, data analysis, knowledge management, customer support, content creation, and industry-specific workflows. To accelerate this momentum, Databricks and Google teams will work together to deliver joint customer workshops and solution design sessions to drive measurable AI impact.

Beyond Proof of Concept

Enterprises are no longer asking if they should adopt AI, but how fast they can move it into production. By unifying data on Google Cloud’s infrastructure with Databricks’ intelligence layer, our customers are seeing tangible improvements in speed-to-market and operational efficiency.

The momentum of our partnership is reflected in the 85% year-over-year growth in Google Cloud consumption, driven by GenAI workloads and large-scale data processing. Google Cloud Marketplace has become a primary on-ramp for this innovation; over the past year, Databricks generated 4,000+ Marketplace sign-ups. Beyond procurement, we are co-innovating on infrastructure with support for Google Axion (ARM) processors, which significantly improves price-performance for massive data workloads.

Here is how joint customers are winning today:

• Standardizing Global Operations: Mondelēz and PetSmart are moving beyond simple experiments to deploying enterprise-grade GenAI and predictive models. By leveraging a unified platform, they’ve cut through the complexity of fragmented data, ensuring that every AI agent is grounded in governed, high-quality data.
• Drastic Cost Optimization: Digital Turbine leveraged Databricks SQL Serverless on Google Cloud to modernize their analytics. The result? Tens of thousands of dollars in monthly savings and a significant reduction in infrastructure management overhead, allowing their engineering team to focus on innovation rather than maintenance.
• Eliminating Procurement Friction: For Dun & Bradstreet, the Google Cloud Marketplace acted as a strategic accelerator. By bypassing lengthy traditional vendor onboarding, they instantly accessed Databricks’ ML capabilities, cutting the time from "idea" to "deployment" by weeks.
• Ensuring Regional Compliance: As companies like Logically and Epsilon expand, they utilize our recent footprint growth in regions like Saudi Arabia (KSA) and Brazil. This allows them to scale without compromising on strict local data residency requirements or performance.
• Empowering Developer Productivity: Through the use of Lakeflow-powered pipelines, a global manufacturer consolidated legacy ETL tools, resulting in fewer pipeline failures and a 30% faster delivery rate of critical analytics to their executive dashboards.

See What’s Next at Google Cloud Next ’26. The Future is Governed, Open, and Agentic.

As data and AI strategies evolve, Google Cloud Next ’26 is the definitive checkpoint for leaders to see what’s working, showcase innovation, and shape the next wave of investment. The partnership between Databricks and Google Cloud isn't just about providing tools; it’s about providing a proven roadmap for the enterprise.

Whether you are modernizing legacy platforms, adopting the Enterprise tier for enhanced security, or launching your first fleet of AI agents on governed data—we are ready to help you build what’s next.

Join us at Google Cloud Next ’26 to:

• See the Tech in Action: Visit our booth for end-to-end demos of Unity Catalog and Gemini powering real-world agentic workflows.
• Don’t miss our Lightning Talk on Friday, April 24, from 9:30–9:45 AM in Expo Theater 1 — Reinventing Grocery Retail: How Albertsons Uses Databricks on Google Cloud to Power Data and AI
• Collaborate with Experts: Book a 1:1 session in our dedicated meeting space to tailor a data intelligence strategy for your specific business goals. Book a Meeting
• Celebrate Innovation: Unwind at our joint Happy Hour with NVIDIA and Glean- where the best conversations happen over fresh perspectives on the future of AI. Register for the Happy Hour
• Elevate Your Google Cloud Next Experience: Join us for an exclusive VIP reception designed for meaningful executive conversations with Neo4j. Register Here

Innovation moves fast, and Google Cloud Next ’26 is your opportunity to see these technologies in action.

Ready to take the next step?

Databricks on Google Cloud brings together an open, governed lakehouse, a rapidly expanding serverless platform, and deep integration with Google Cloud’s AI and infrastructure — including native Gemini models and an Enterprise tier built for demanding environments.

To move from plans to impact:

• Get Started with a Free $400 Trial of Databricks on Google Cloud. Create an account through Google Cloud Marketplace, spin up a serverless workspace, and explore sample workloads across data engineering, analytics, and AI.
• Engage your Databricks and Google Cloud teams. Discuss which workloads are best suited for Databricks on Google Cloud today, evaluate the Enterprise tier, and plan a path that aligns with your security and governance needs.
• Dive deeper into architectures and best practices. Explore the Databricks on Google Cloud product page, documentation, and reference architectures to see how other organizations are designing their platforms.

The next wave of intelligent applications will be built where governed data and powerful AI meet. With Databricks on Google Cloud, that intersection is ready today — and built to support where you need to go next.