Databricks says it solved the decades-old data pipeline problem that's been slowing AI agents

Databricks says new products LTAP and Lakehouse//RT unify transactional and analytical data for AI agents, delivering sub-100ms latency and no ETL pipelines.

Databricks unifies OLTP and OLAP, depending on what counts as a copy

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 ...
Diginomica

Why Databricks calls CDC 'continuous data corruption' - and what it built instead

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 ...
The Silicon Review

Couchbase AI Wants to Redefine the AI Database Market. But Is This the Breakthrough Enterprises Have Been Waiting For?

Couchbase AI launches its AI Data Plane to transform the AI database market with Agent Memory, unified data access, and edge ...
HackerNoon

The Race to Build AI’s Context Layer Is Really About Meaning

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

RAG Didn't Die—It Moved Up The Stack

The narrative that RAG is dead has been repeated by enough credible voices that many engineering leaders have started to ...

Databricks Now Powered by ZoomInfo's GTM.AI as the GTM Context Layer for Lakehouse AI

ZoomInfo's verified company, contact, and signal data now flows natively into the Databricks lakehouse through GTM.AI, so every model, score, ...

Modern Data & Knowledge Platforms: The Foundation Every AI Strategy Actually Runs On: SD Times 100

Part of the SD Times 100 2026 series. See the full SD Times 100 2026 list for every category and honoree. Every conversation ...