In its major product release on Tuesday, Snowflake introduced Snowflake Postgres, Cortex Code and Semantic View Autopilot to help enterprises transition from AI experimentation to live workloads. Snowflake Postgres unifies relational and analytical data within a single engine optimized for AI model training and inference, enabling sub-second query performance on petabyte-scale datasets. Cortex Code offers a managed development environment with built-in code suggestions and deployment pipelines that cut integration time by up to 40%. Semantic View Autopilot automatically generates context-aware data views for natural language queries, reducing data engineering effort by an estimated 60% according to early customer tests.

Snowflake announced a $200 million, multi-year collaboration with OpenAI, granting its 12,600 customers direct access to ChatGPT Enterprise and other large language models via the Snowflake platform on AWS, Azure and Google Cloud. Under the deal, Snowflake and OpenAI will co-develop AI agents that leverage customers’ proprietary data for tasks such as automated report generation, intelligent anomaly detection and real-time decision support. Snowflake CEO Sridhar Ramaswamy confirmed that joint go-to-market efforts will include integrated security, compliance and governance controls to meet enterprise requirements.

Bank of America analyst Koji Ikeda reaffirmed a Buy rating on Snowflake but trimmed his 12-month price target from $310 to $275, reflecting revised growth projections. Ikeda highlighted that strength in product revenue—driven by accelerating AI adoption—was partly offset by intensifying competition from hyperscale cloud providers and Databricks. He also flagged Snowflake’s dependence on third-party infrastructure as a potential long-term risk, noting that a future shift toward vertically integrated architectures could pressure margins.