Customers process exabytes of data daily on Databricks, and generative AI is already transforming those data engineering pipelines with new capabilities. We’re pleased to help customers accelerate that transformation with Claude Sonnet 4.5, Anthropic’s new frontier model, which can now be directly applied to your governed data at scale through DBSQL and used to build agents with Agent Bricks.
Claude Sonnet 4.5, released just seven weeks after Claude Opus 4.1, demonstrates the rapid pace of innovation in generative AI. With Databricks, enterprises don’t have to worry about trying to keep up. Claude Sonnet 4.5 is the latest example of how we bring the best models from any provider directly to your governed enterprise data—so that you can evaluate and choose the right model for the job, then easily switch as models and needs evolve, all while running efficiently at scale.
Claude Sonnet 4.5 is Anthropic's most intelligent model, specifically engineered to strike an optimal balance between quality and speed while delivering enhanced domain expertise across coding, finance, and research.
Key use cases:
Enterprises generate vast amounts of unstructured data, from contracts and regulatory filings to support tickets and research papers. This information holds critical insights but has been notoriously difficult to work with at scale. Generative AI now makes it possible to unlock the insights this data holds, automating tasks like information extraction, summarization, and prediction that were once too time-consuming or complex to do broadly.
Yet, accessing these insights at production scale remains a challenge. Data has to be exported to external APIs, stitched back together, and managed across separate tools. This creates governance risks, breaks lineage, and slows adoption.
That is why we introduced AI Functions, a simple way to apply LLMs directly to governed enterprise data. Instead of moving data out of secure systems, Databricks brings AI models to your data so you can extend existing data pipelines with AI while preserving governance, lineage, and observability.
Now with Claude Sonnet 4.5, AI Functions take their next big leap forward. Enterprises can move beyond simple analysis to tackle complex multi-step reasoning, scaling their most important work with confidence. This unlocks use cases such as analyzing obligations in contracts, detecting compliance risks in filings, and distilling research into structured insights, paving the way for enterprises to turn complex unstructured data into actionable intelligence at scale.
Claude Sonnet 4.5 can be used like a built-in operator in SQL or Python, making it simple to analyze contracts, PDFs, transcripts, or images directly where your data lives. When you run these queries, Databricks automatically scales Claude capacity in the backend to handle everything from a handful of rows to millions, ensuring fast and reliable results without extra setup.
For production, Claude can be chained into Lakeflow pipelines to build GenAI ETL: ingesting data from systems like Salesforce or Amazon S3, applying AI transformations such as summarization or classification, and orchestrating the flow with built-in governance and observability.
With Databricks Agent Bricks, enterprises can apply Claude Sonnet 4.5 to domain-specific use cases. Agent Bricks builds and evaluates agents on enterprise tasks, tunes them, and continuously improves their performance, ensuring they deliver measurable quality in production.
Claude Sonnet 4.5 will begin rolling out to supported Databricks workspaces this week. You can: