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 ...

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 ...

Couchbase AI Data Plane combines persistent agent memory, vector search and an enterprise MCP server that runs on-device when ...

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

* This article is reconstructed based on a portion of the book. More in-depth content (design and concrete examples) is summarized in the book, so please check it out if you are interested. By the ...

In today’s fast-paced world of transportation and logistics, fleet management plays a crucial role in maximizing efficiency to meet the ever-growing demands of a dynamic market. It is the meticulous ...

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

Telco vendors are rushing agentic AI into OSS and BSS stacks – hard, at DTW Ignite this week. Nokia has announced work with AWS and Databricks to build the data, cloud, and control layers for ...

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

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