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 ...

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

Shanku Niyogi of Databricks walks through the architecture behind Lakebase, LTAP and Lakehouse//RT – and renames an industry workaround in a relatable way that acknowledges the pain points experienced ...

Performance and governance layer for the Databricks Genie API. Deploy as a Databricks App — callers swap the base URL, zero code changes required. Genie translates natural language to SQL. The Gateway ...

An advanced Model Context Protocol (MCP) server that gives AI assistants deep visibility into your Databricks workspace — 43 tools covering dependency scanning, impact analysis, notebook review, ...

Today’s AI-first environment is pushing traditional enterprise data architectures to a breaking point. Organizations store critical business information across fragmented systems, with data warehouses ...

Oracle Corp. today announced the general availability of Oracle AI Database 26ai and Oracle Autonomous AI Lakehouse, both aimed at supporting artificial intelligence training and inference across ...

The new lakehouse offering marks a significant change in Oracle’s strategy, with the vendor moving from a single-cloud model to recognizing enterprises’ need for flexibility across platforms, analysts ...

It's been a year since Databricks bought Tabular for $1 billion, livening up the sleepy world of table formats. People have been playing with it. It's captured people's imaginations for sure... The ...