Excitement over DuckLake, but momentum is with Iceberg as players at AWS, Snowflake weigh in It's been a year since ...

In sum, the data corroborate Snowflake’s assertion that its revamped go-to-market engine is landing meaningful net-new ...

The logic is that doing this type of batch work inside Snowflake, an architecture designed ... s a 24% and 16% overlap in AWS accounts with Snowflake and Databricks, respectively.

The DuckDB concept contrasts with the model of data warehousing established over the last 30 years or so. Whether on-prem ...

Snowflake offers a data warehouse delivered via the software-as-a-service (SaaS) method. It supports structured and semi-structured data (unstructured support is still immature), and also runs on AWS, ...

In particular, Databricks is growing rapidly and trying to drive adoption of the data lakehouse architecture. Snowflake's new CEO is focusing on innovation, particularly in AI, but it's too early ...

Both Snowflake and Databricks are well regarded data platforms ... associated with running some of these tools’ processes on AWS, Azure, or GCP. Here’s a breakdown of what each of these ...

By using low-cost cloud-based architecture ... continue to grow, Snowflake needs to grow its partnerships. Redshift is a better fit for organizations that are already using AWS, as the use ...

Customers can also scale model training on Mosaic AI at a low cost using high-performing, cost-effective AWS Trainium chips. Together, Databricks and AWS will make it possible for thousands of ...