In response, Snowflake this month open-sourced its Polaris technical metadata catalog. Databricks then acquired Tabular (founded by the creators of Iceberg) and subsequently open-sourced Unity.

The two companies’ data science platforms have become core components for many CIOs who are focused on leveraging organizational data to drive AI deployments, as the market for similar tools rapidly ...

For all the talk about the rise of low-cost or open-source AI models, enterprises are still gravitating to brand-name models ...

Snowflake's share price remains under pressure due to its ongoing growth deceleration and rising competition. In particular, Databricks is growing rapidly and trying to drive adoption of the data ...

To address this need, Databricks and Snowflake have emerged as the best one-stop shops for this. They are locked in a duel, espousing different approaches, and having different cultures.

But for Snowflake and Databricks users, until now it's been a case of so near and so far. The services may have (hopefully) been in the same availability zone and stored in the same S3 instances.

Databricks announced today that it's making its key technology, Delta Lake, fully open source. Earlier this month, Snowflake said it would rely on a competing open-source technology.

Databricks and Snowflake also differ on open source. This can be a subjective concept, which we’ve documented here, here, here, here, and here, and we’re not about to revisit the debate again.

Databricks has reached a $100 billion valuation driven by AI growth, positioning itself as a strong competitor in the data ...