As customers try to “get artificial intelligence right,” the need to rationalize siloed data becomes increasingly important. Data practitioners could put all their data eggs into a single platform ...

Three main pressure points are transforming the modern data landscape: 1) Increased interest in adopting open table formats to allow any compute to operate on any data; 2) The point of control is ...

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 ...

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 ...

At a time when many enterprise companies have struggled to find growth and valuations have plunged, Databricks continues to prove the exception. In September the company raised $500 million on a ...

How much will the changing valuation profile of software companies impact the highest-flying private unicorns? Also, why hasn’t Databricks gone public yet? The answer to the former might be the answer ...

Databricks CEO Ali Ghodsi and Nvidia CEO Jensen Huang announced an expansion of their companies’ partnership at the Databricks Data and AI Summit. I was recently back in San Francisco, attending the ...

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 ...

Businesses need AI agents that can analyze and act on their enterprise data, automate complex workflows and deliver reliable insights while meeting strict standards for accuracy, security and ...

If you missed the Snowflake (NASDAQ: SNOW) initial public offering (IPO) at $120 per share in September of 2020 and wanted to get in on the bottom floor of a promising AI/data company, then you might ...