See whether Databricks or Snowflake is the better ETL tool for you using our comprehensive guide to compare their features, pricing and more. With more and more solutions entering the enterprise ...

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 ...

The extraction of meaningful information from Big Data is a key driver of business growth. For example, the analysis of current and past product and customer data can help organizations anticipate ...

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 ...

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more The heated competition between enterprise ...

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 ...

Enterprise software maker Databricks found itself in the catbird seat when much of corporate America scrambled to make artificial intelligence a bigger part of their business strategies. But ...

Databricks and Snowflake are increasingly competing across various products, ranging from Snowflake's massive investments in machine learning to Databricks' expanding data-management tools. However, a ...

Databricks and Snowflake rely on orchestration, a process that schedules data-crunching tasks. Databricks launched a product that includes orchestration, opening another front in the rivalry. This ...

Snowflake wants to reduce enterprises’ reliance on data engineers and data scientists for unstructured data analysis with its new SQL functions powered by generative AI. Snowflake is adding generative ...