Databricks, the lakehouse company, is launching Databricks Model Serving, a solution aiming to streamline the management and scaling of production machine learning (ML) within the Databricks Lakehouse ...

Data analytics developer Databricks Inc. today announced the general availability of Databricks Model Serving, a serverless real-time inferencing service that deploys real-time machine learning models ...

Databricks Inc. opens its Data + AI Summit today with the announcement that it will release the entirety of its Delta Lake storage framework to open-source under the oversight of the Linux Foundation.

Databricks has detailed new best practices for continuous integration and delivery (CI/CD) alongside expanded AI assistive features, aiming to streamline data engineering and machine learning ...

Databricks is buying Tecton, a machine learning startup backed by Sequoia Capital and Kleiner Perkins, as part of its plan to build out full-scale AI tools for large companies. The deal was confirmed ...

Omar Khawaja argues CISOs should be skilled at talent development, operating models, change management and decision support. The data analytics platform provider has been using ML to drive functions ...

Snowflake and Databricks are surely similar companies. While each positions itself a bit differently, both provide data storage, processing and governance in a cloud context. Both are holding customer ...

Organizations can improve performance and reduce costs by replacing the stock Databricks Runtime for Machine Learning libraries with versions optimized by Intel. Here’s how to get started. Getting the ...

Databricks’ Delta Sharing will enable ServiceNow to offer Zero Copy, high-bandwidth, bi-directional, and secure integration with the Databricks Data Intelligence Platform so customers can turn data ...

Overview:  Choosing between Hadoop, Spark, and Databricks can define your data strategy success in 2026.Each tool serves a unique purpose from storage to r ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...