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 ...

Until now, access to the Databricks platform was primarily limited to engineers and data scientists with SQL or Python skills. Databricks One introduces a completely redesigned interface, simplified ...

Big-data company Databricks Inc. wants to help enterprises dig into their vast troves of data even faster, so today it launched a new, high-performance query engine for cloud-based data lakes. The ...

Monday - Friday, 6:00 - 7:00 PM ET In an interview with CNBC's Jim Cramer, Databricks CEO Ali Ghodsi discussed how the company used artificial intelligence to helps its clients, including recent World ...

As artificial intelligence continues to take the enterprise world by storm thanks to evolving innovations, such as ChatGPT, getting the best out of data-powered AI is a critical. In today’s enterprise ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More The data lakehouse provider Databricks is further boosting its portfolio, ...

At the Databricks Data + AI Summit this week the company expanded its contributions to the Delta Lake initiative, as well as unleashing a wave of new data lakehouse, machine learning and data ...

Databricks this morning confirmed earlier reports that it was raising new capital at a higher valuation. The data- and AI-focused company has secured a $1.6 billion round at a $38 billion valuation, ...

The new Databricks Partner Connect is designed to help customers scale up their data lakehouse systems by providing access to Databricks’ growing ecosystem of software developer and data provider ...

Databricks, the inventor and commercial distributor of the Apache Spark processing platform, has announced the launch of an open source project called Delta Sharing at the Data + AI Summit. The ...

CISOs know precisely where their AI nightmare unfolds fastest. It's inference, the vulnerable stage where live models meet real-world data, leaving enterprises exposed to prompt injection, data leaks, ...