According to Robert Kramer, principal analyst at Moor Insights and Strategy, while both Snowflake and Databricks are incorporating PostgreSQL into their offerings, their approaches reflect distinct strategic priorities.
Kramer elaborates, stating, “Snowflake’s focus is on enterprise readiness, integration, and governance, specifically targeting large enterprises. In contrast, Databricks is emphasizing a serverless, cloud-native PostgreSQL that is optimized for AI agent development and low-latency transactions, which is particularly appealing to developers and startups.”
Creating a data intelligence platform
Bradley Shimmin, lead of the data and analytics practice at The Futurum Group, notes that Snowflake’s initiative to integrate PostgreSQL within its AI Data Cloud is a strategic move aimed at merging operational and analytical workloads on a single platform. This trend is reflective of a broader industry shift, as many data vendors are striving to create what they term a data intelligence platform.
