Spotfire has launched Push Compute on the Snowflake AI Data Cloud, enabling organisations to run advanced industrial data transformations and calculations at scale directly on Snowflake. The integration allows analysis of larger datasets and unlocks novel industrial analytic applications. The technology enables engineers and scientists to develop repeatable analytical workflows that compute over larger data volumes than previously possible. Users can visually orchestrate dynamic data transformations and Snowpark computations without moving data, whilst maintaining Spotfire's agile data exploration experience. The collaboration targets customers in manufacturing and energy sectors, particularly those migrating large-scale data to Snowflake. Use cases include advanced geological and well log analyses in oil and gas, field development, production optimisation, asset valuation, and operational excellence.

Alteryx has launched Alteryx One on Snowflake Marketplace, enabling joint customers to build governed, AI-ready workflows directly on Snowflake data. The integration allows business teams to prepare, analyse, automate, and apply AI to enterprise data without moving it, reducing complexity whilst maintaining governance. Alteryx One provides a no-code experience for business users to analyse Snowflake data, apply business rules, and automate workflows. Technical teams can extend these workflows with code and custom AI models whilst maintaining enterprise governance and end-to-end lineage. The platform is designed to make analytics lifecycles visible, understandable, repeatable, and auditable. More than 8,000 customers globally rely on Alteryx to automate analytics and drive data-driven decisions.

Snowflake has joined Cursor's Benchmark Partners Program alongside AWS, Databricks, NVIDIA, and others to support enterprise AI adoption. The programme aims to provide a reference stack addressing governance, infrastructure, and deployment challenges for large organisations implementing AI systems. The partnership positions Snowflake as part of a broader enterprise AI stack rather than a standalone data warehouse. It highlights the company's role in standardising how enterprises build and scale AI on modern data platforms. The development reflects increasing demand from large customers moving beyond AI pilots into broader deployments. For investors, the collaboration clarifies Snowflake's position within the evolving AI and data ecosystem as reference architectures continue to form. Snowflake currently trades at $293.28, close to its analyst target of $298.23, though the company remains loss-making with a negative net income margin.