Data analytics contender Databricks offers a platform that, along with the open source Apache Spark technology on which its core is based, has long been a favorite for attacking streaming data, data ...

Databricks, which has traditionally appealed to coding-savvy data scientists and data engineers, is making a play to broaden its base of users with new products unveiled this week at the company’s ...

Our analysis and end-user discussions continue to demonstrate that a new modern data stack is emerging along with sophisticated data-oriented “personas,” such as data analysts and data scientists.

Databricks today launched what it calls its Lakehouse Federation feature at its Data + AI Summit. Using this new capability, enterprises can bring together their various siloed data systems and ...

Continuing its quest to make freeform data lakes a viable alternative to highly structured data warehouses, Databricks Inc. today debuted an engine that enables many workloads previously targeted at ...

First created as part of a research project at UC Berkeley AMPLab, Spark is an open source project in the big data space, built for sophisticated analytics, speed, and ease of use. It unifies critical ...

The data marketplace and other features are expected to accelerate data engineering tasks with an option for data monetization down the road, Databricks said. Along with open sourcing Delta Lake at ...

Databricks, the Data and AI company, is introducing Databricks LakeFlow, a new solution that unifies and simplifies all aspects of data engineering—from data ingestion to transformation and ...

Databricks, known for secure data storage and AI, has launched a new AI business intelligence dashboard called Databricks One, designed for nontechnical business users across various departments.

Data teams building AI agents keep running into the same failure mode. Questions that require joining structured data with unstructured content, sales figures alongside customer reviews or citation ...