Databricks Lakehouse Platform combines cost-effective data storage with machine learning and data analytics, and it's available on AWS, Azure, and GCP. Could it be an affordable alternative for your ...

Databricks, the leading Data and AI company, made significant announcements at the Data + AI Summit. The newly introduced Lakehouse AI enables customers to develop generative AI applications, ...

Arctic Wolf has integrated its Aurora XDR and security operations platform with the Databricks Data Intelligence Platform to help collect, manage and analyze huge volumes of security telemetry and ...

Big-data analytics company Databricks Inc. is adding more automation, administration and security features to its Unified Data Analytics Platform today. The updates are designed to make it safer for ...

Salesforce Inc. and Databricks Inc. have debuted a new product integration that aims to simplify joint customers’ data analytics projects. The integration was developed as part of a technical ...

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 ...

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Databricks landed the biggest acquisition of the generative AI era to date when it bought MosaicML in June for $1.3 billion. It was a nearly 6x markup on MosaicML’s previous valuation of $222 million ...

Lakeflow Designer and Agent Bricks technology unveilings for building data pipeline workflows and AI agents, respectively, are on tap at Wednesday’s Databricks Data + Summit. With new technologies for ...

As data sources and volumes grow, and as a data-driven orientation is increasingly deemed to be a competitive necessity, the war between platform vendors to provide the primary repository for our data ...

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 ...

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 ...