Scale Databricks Apps from design to production: set latency targets, keep state recoverable, load test, and size instances, ...

Declarative Automation Bundles (formerly known as Databricks Asset Bundles), contain the artifacts you want to deploy and the settings for Azure Databricks resources such as jobs that you want to run, ...

Overview Machine learning platforms support model development, training, testing, deployment, and performance ...

Databricks published an enterprise adoption overview on November 13, 2026, describing three ways to use OpenAI tools with governed company data: ChatGPT analytics through Genie, centrally controlled ...

The OpenAI Responses API described in this article is a native passthrough for OpenAI pay per token foundation models and external models, and supports the full set of OpenAI Responses parameters and ...

Databricks on November 11, 2026, introduced a new Genie that it describes as an autonomous AI coworker for continuous, ...

The Lakeflow Framework is a metadata-driven framework for building Databricks Lakeflow Spark Declarative Pipelines. It uses a configuration-driven, pattern-based approach to support both batch and ...

Genie Workbench is a Databricks App for creating, scoring, and optimizing Databricks Genie Agents. It combines a FastAPI backend, React/Vite frontend, Databricks On-Behalf-Of auth, Lakebase ...

Today we're introducing agent memory on Agent Bricks, Databricks' agent developer platform. Agent memory improves agent quality while decreasing costs and latency by storing critical facts, ...

Databricks, valued at $190 billion, eyes a potential 2027 IPO due to a crowded 2026 calendar. With a $7 billion revenue run rate, Databricks is generating positive adjusted free cash flow. Snowflake ...

Giving AI agents access to company data is one thing. Making sure they understand what they’re looking at is another. Different departments often use different definitions for the same numbers. An AI ...