Investment ⁠firm Coatue ⁠Management is leading ​a $3 billion investment ‌in data analytics ‌provider ⁠Databricks ⁠that values ...

When it comes to AI services, you don't necessarily get what you pay for. It turns out that AI models with expensive tokens ...

Palantir's key risks include government contract exposure and competitive threats from Snowflake, Databricks, and AI labs.

AI models without strong business context risk costly errors, but vendor approaches to “context” vary. Enterprises must take ...

Dun & Bradstreet announced it is delivering agentic credit and portfolio management workflows, leveraging the D&B Commercial Graph™, available through the Databricks Marketplace and Databricks ...

When Databricks claimed to have cracked an age-old database problem, it came with a clear marketing message: "One data, zero compromises, zero copies." Inevitably, that led engineers to search for ...

This repository is a read-only mirror, published from Databricks' internal repository with each release. Pull requests are reviewed here but merged internally (see CONTRIBUTING.md). The Databricks SDK ...

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

SpaceX's historic debut marked the start of what could be a new era of mega IPOs. Anthropic and OpenAI could follow, expanding the market's bet on AI, though SpaceX's recent volatility reportedly has ...

Data lakehouses offer a solid footing, but when agents access the data autonomously, enterprises need to consider security, access controls, audit trails, and semantic context.

Major enterprise platform companies are racing to build tools for a new class of users: artificial intelligence agents. One example of this was apparent today with the latest releases from Databricks ...