"Snowflake knows that the battle for AI workloads will be won in metadata, lineage, and trust, not raw storage. Horizon Catalog is a strong foundation, but Select Star brings what Snowflake lacks today, real automated discovery, column level lineage, usage intelligence, and UX that reduces the grunt work data analysts still do,"
"There is a clear market gap for full stack metadata intelligence that is deeply embedded in the platform, not bolted on. At the same time, Databricks keeps stretching the gap in governance and lineage with Unity Catalog. Snowflake knows it must respond with real acceleration,"
Snowflake is expanding Horizon capabilities to capture AI-driven data and analytics workloads and to become the AI-native foundation for enterprises. The platform emphasizes metadata, lineage, and trust as decisive factors for winning AI workloads rather than raw storage capacity. Select Star adds automated discovery, column-level lineage, usage intelligence, and user experience improvements that reduce analysts' repetitive work. A full-stack metadata intelligence capability embedded in the platform remains a market gap. Databricks advances governance and lineage through Unity Catalog, increasing competitive pressure. Accelerated development and inorganic acquisitions are presented as effective approaches to close capability gaps quickly.
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