Reason over your data. Automate complex workflows. Scale with confidence — all in Databricks.
Two months after launching our partnership with Anthropic, we’re thrilled to announce that Claude Opus 4 and Sonnet 4 are now natively available to Databricks customers on AWS, Azure, and GCP. Opus 4 offers industry-leading reasoning and agentic capabilities, while Sonnet 4 provides an optimal balance of cost and performance for enterprise-scale deployments.
With full integration into the Databricks Data Intelligence Platform, enterprise teams can now securely build, evaluate, and govern Claude-powered AI agents using their own data — with centralized governance and observability. This advances our mission to enable enterprises to build intelligent agents that can reason over their data.
What Claude 4 Unlocks for Enterprise AI
Claude Opus 4 — Intelligence for High-Stakes, Multi-Step Workflows
Claude Opus 4 is Anthropic’s most powerful model yet and a frontier model for coding, writing, and reasoning. It delivers sustained performance on long-running tasks that require focused effort and thousands of steps, with the ability to work continuously for several hours. Opus 4 combines frontier intelligence, improved memory capabilities, and tool use to enable autonomous agents that reason deeply, act across systems, and retain knowledge across sessions. It is ideal for long-horizon work like engineering, legal review, or research synthesis.
Key Use Cases:
- Advanced Coding: Plan and execute complex dev tasks like refactoring legacy codebases or building full-stack apps from spec.
- Agentic Workflows: Power agents that manage multi-step business processes — like marketing campaigns or legal workflows.
- Cross-Source Research: Analyze data from patents, filings, or reports to surface trends or conduct due diligence.
- Virtual Collaborators: Build systems that retain memory across sessions, summarize prior work, and support sustained, multi-turn reasoning.
Content Creation: Generate long-form technical docs, natural marketing copy, and creative content with human-level fluency.
Claude Sonnet 4 — Fast, Scalable Intelligence for Everyday Automation
Claude Sonnet 4 brings impressive reasoning to high-throughput use cases — optimized for speed, efficiency, and production-scale deployments. It is ideal for real-time and operational automation.
Key Use Cases:
- AI Assistants: Build real-time customer support and internal workflow agents that deliver accurate, context-aware responses.
- Everyday Coding: Handle reviews, bug fixes, and API integrations with fast iteration and immediate feedback.
- Business Intelligence & Analysis: Rapidly summarize dashboards, competitive data, and market signals.
- Content at Scale: Create and analyze large volumes of enterprise content — from marketing assets to feedback reports.
Why Use Claude in Databricks?
Claude 4 models are now natively available in Databricks, allowing enterprises to securely build and scale AI systems over their private data — with no infrastructure to manage and governance built in.
- Instant Access, No Setup: Claude Opus 4 and Sonnet 4 are ready to use via Model Serving — no deployment or configuration needed.
- Unified and Simple Interfaces: Call Claude 4 through a single API or use it directly in SQL, Notebooks, Workflows, and DLT pipelines with AI Functions — no integration work required.
- Enterprise-Grade Governance: All usage is automatically governed through the Mosaic AI Gateway — with built-in logging, safety guardrails, and PII detection. All request metadata and lineage is captured in Unity Catalog for unified access control and visibility.
- Smarter Agents on Private Data: Build intelligent agents that reason over your data using tool calling, vector/metadata search, and orchestration graphs, all fully integrated with the Databricks platform.
- Built-in Evaluation & Monitoring: Use Mosaic AI’s evaluation framework to monitor and optimize model quality, latency, and cost in real workloads.
Read how Block uses Claude in Databricks to scale AI across teams — and how Claude can do the same for you.
Use Claude 4 in Python and SQL
Tool-Integrated Agents in Python
Batch Inference in SQL
What You Can Do Next
Claude 4 models will be rolling out soon to supported Databricks workspaces over the next few days.
