For the hassle of complex setup or moving sensitive information to integrate your buiness data with AI. With the native integration of Google’s Gemini 3 Pro model into Databricks users can tap into cutting-edge AI capabilities within a secure, governed environment, unleashing state-of-the-art reasoning, coding, and multimodal understanding for business-critical applications.
Seamless Integration and Enterprise-Grade Governance
With Gemini 3 Pro now available natively, Databricks users can leverage Google’s most advanced AI model directly within their existing workflows. Everything remains inside the Databricks security perimeter, ensuring data governance and compliance are never compromised. Databricks uniquely stands as the only platform offering native access to top-tier models from OpenAI, Anthropic, and Google Gemini providing analytics teams with the ultimate flexibility and choice for their AI initiatives.
Core Features and Enterprise Use Cases
- Visual Reasoning and Multimodal Analysis: Gemini 3 Pro is multi modal handleing images and text, making it perfect for large-scale document analysis, contract review, and research extraction.
- Agentic Reasoning: Automate advanced business workflows, such as compliance checks and contract analysis, using Gemini’s agentic intelligence.
- Large Context Window: With a 1 million token capacity, the model tackles massive datasets, enabling summarization, classification, and extraction in a single query.
- Developer Productivity: Gemini can generate sophisticated code and documentation, streamlining internal development processes and tool support.
Enhanced Workflow with Databricks Tools
Gemini 3 Pro integrates seamlessly with SQL, Python, and native Databricks tools, fitting naturally into existing data pipelines. The updated REST API now supports image inputs, and the DBSQL ai_query feature empowers large-scale inference straight from your Lakehouse.
Tasks like contract review or image classification can be fully automated with no extra infrastructure or manual model management required.
For real-time needs, Gemini models are accessible via Databricks' APIs, supporting both chat completions and REST calls. This versatility allows teams to build responsive, data-driven AI agents that handle a broad spectrum of enterprise demands.
Introducing Gemini 2.5 Flash: Speed Meets Efficiency
Databricks also introduces Gemini 2.5 Flash, optimized for ultra-fast, high-throughput scenarios. Flash delivers step-by-step logic and structured problem-solving, making it ideal for lightweight, cost-effective agents. Enterprises can use Flash for:
- Customer support chatbots with millisecond response times
- Large-scale operational automation with minimal compute resources
- Balancing performance (Flash) and accuracy (Pro) based on workload needs
Real-World Impact: How Enterprises Benefit
- Multi-modal Product Intelligence: Retailers can merge image, review, and inventory data to optimize products and predict trends.
- Enterprise Decision Automation: Automate thousands of reasoning tasks per minute, from transaction processing to compliance monitoring.
- Real-time Customer Support: Rapidly classify issues, retrieve customer info, and suggest fixes to boost user experience while cutting manual effort.
Getting Started: Resources and Next Steps
Databricks makes onboarding easy through the AI Playground and Model Serving features—no setup needed. Resources like the Compact Guide to AI Agents and the Week of AI Agents series provide hands-on guidance for building and scaling AI. As more organizations adopt advanced AI, Gemini 3 Pro on Databricks positions them to lead with secure, frontier intelligence at scale.
Conclusion
The arrival of Gemini 3 Pro on Databricks marks a turning point in enterprise AI. By combining powerful models with robust governance and a seamless user experience, Databricks enables organizations to automate workflows, extract insights, and deploy real-time agents—empowering them to thrive in the age of intelligent automation.
Source: Databricks Blog, "Launching Gemini 3 Pro on Databricks"
Gemini 3 Pro Arrives on Databricks