Snowflake Acquires Select Star to Bolster Enterprise AI Strategy
The deal aims to integrate automated data governance and discovery into Snowflake's platform, a critical step for building trust in AI applications.
Snowflake announced Tuesday it is acquiring Select Star, a data governance and discovery startup, in a strategic move to deepen its capabilities in the burgeoning enterprise artificial intelligence market. The financial terms of the deal were not disclosed.
The acquisition is designed to integrate Select Star's automated metadata and data lineage tools directly into Snowflake's platform, addressing a fundamental challenge for companies building AI applications: ensuring the underlying data is trustworthy and well-understood. Shares of Snowflake (NYSE: SNOW) rose approximately 1.2% to $244.87 in morning trading, pushing its market capitalization to nearly $82 billion as investors reacted positively to the strategic alignment.
This move reinforces Snowflake’s core belief that, as the company has frequently stated, there is “no AI strategy without a data strategy.” In the race to deploy generative AI, organizations are grappling with vast and often siloed datasets. The ability to automatically map, trace, and manage this data is becoming a critical factor for building accurate and secure AI models. By acquiring Select Star, Snowflake aims to provide customers with a more unified view of their data ecosystem.
Select Star specializes in what it calls intelligent data discovery. Its platform helps organizations automatically analyze and document their data, tracing its origins and tracking its usage across various systems. This creates a comprehensive data catalog that makes information easier to find, govern, and utilize for analytics and AI.
"From the beginning, our vision at Select Star has been to make data easier to find, understand, and use," said Shinji Kim, CEO of Select Star, in a blog post announcing the deal. "That means not only capturing what data exists, but also where the data comes from, who uses it, and how it's being used."
Snowflake plans to integrate these capabilities into its Snowflake Horizon, a built-in governance solution. According to Kim, the integration will help power "agentic AI experiences like Snowflake Intelligence and Cortex Code" to deeply understand an enterprise's data and extract insights more effectively. This allows Snowflake to move beyond simple data storage and processing, offering a more intelligent layer that helps manage the entire data lifecycle.
The acquisition comes as Snowflake continues to build out its platform to compete in the fierce cloud data market against rivals like Databricks, Amazon Web Services, and Google Cloud. While competitors also offer data governance tools, Snowflake's strategy of tightly integrating these features aims to create a more seamless and secure user experience, a key selling point for large enterprises managing sensitive information.
Wall Street has maintained a largely bullish outlook on Snowflake, with an average analyst price target of $272.41, suggesting confidence in the company's long-term strategy and its positioning in the AI landscape. This acquisition, though likely small in financial terms, is significant strategically. It signals a focus on building the foundational tools necessary for the next wave of enterprise AI, betting that companies that can provide a trusted data foundation will ultimately win the platform war.