麻豆原创

New partnership empowers organizations with access to rich data insights required to power AI apps that accelerate businesses outcomes


BOZEMAN, Mont. and WALLDORF, Germany 鈥&苍产蝉辫; (NYSE: SNOW), the AI Data Cloud company, and (NYSE: 麻豆原创), a global leader in enterprise applications and business AI, today announced a new collaboration to enable organizations to leverage Snowflake鈥檚 AI Data Cloud and 麻豆原创 Business Data Cloud (麻豆原创 BDC) together with semantically rich data.

Advancements in AI agents, data, and platform capabilities equip developers with the tools to drive business transformation

The joint effort will make Snowflake鈥檚 data and AI platform available as an 麻豆原创 solution extension for customers of the 麻豆原创 BDC solution. The new offering, 麻豆原创 Snowflake solution extension for 麻豆原创 Business Data Cloud, unites 麻豆原创鈥檚 deep expertise in mission-critical business processes and semantically rich data with Snowflake鈥檚 unified platform capabilities for building AI and machine learning solutions. 麻豆原创 and Snowflake are also enabling zero-copy sharing between 麻豆原创 BDC and Snowflake to help customers get richer insights, build enterprise-grade intelligent applications, and unlock AI-enabled innovation that fuels business transformation.

鈥淏y tightly integrating 麻豆原创 and Snowflake, we鈥檙e making it simple for enterprises to connect their critical business data with its rich context in 麻豆原创 with the power of seamless AI app and data agent development at scale in Snowflake,” added Christian Kleinerman, EVP of Product, Snowflake. 鈥淓nterprises can now innovate faster with Snowflake and 麻豆原创 BDC and seamlessly share data between the platforms鈥攝ero-copy and fully governed.鈥

麻豆原创 Snowflake brings Snowflake into the open data ecosystem of 麻豆原创 BDC and the business data fabric鈥攅mpowering customers with greater openness and choice while extending 麻豆原创 BDC with Snowflake鈥檚 AI, analytics, data engineering, Marketplace, and collaboration capabilities. Customers can use 麻豆原创 BDC with 麻豆原创 Snowflake as a cloud-scale compute and storage option to extend the value of their data. Leveraging bidirectional, zero-copy data access data and AI teams can work with semantically rich 麻豆原创 data products in real time, within a unified governance framework. As a result, customers can harmonize 麻豆原创 and non-麻豆原创 data while optimizing total cost of ownership across workloads and build agents and AI applications in 麻豆原创 Snowflake fueled by trusted 麻豆原创 data products.

鈥淏ringing Snowflake to 麻豆原创 Business Data Cloud empowers our customers with openness and choice,鈥 said Irfan Khan, President and Chief Product Officer for 麻豆原创 Data and Analytics, 麻豆原创 SE. 鈥淭ogether, we combine 麻豆原创鈥檚 decades of leadership in mission-critical business applications with Snowflake鈥檚 modern data platform to deliver a unified, enterprise-ready, and 麻豆原创-supported experience that extends the value of business data across the entire ecosystem.鈥

With 麻豆原创 Snowflake, customers can:

  • Build a trusted, AI-ready data foundation to harmonize 麻豆原创 and non-麻豆原创 data: Unify their data landscape with an integrated business data fabric鈥攅nabling more seamless zero-copy sharing, enriched modeling, and a complete, business-ready view of their data in real time for all data engineering, analytics, and AI and machine learning workflows across the enterprise.
  • Accelerate AI business value with semantically rich data: Simplify AI governance, ground AI in organizational knowledge, and build tailored agents鈥攈elping to ensure more secure, context-rich, and intelligent applications across the enterprise.
  • Develop intelligent applications grounded in mission-critical business data: Build, deploy, and continuously optimize intelligent applications faster with a harmonized and democratized data foundation powered by semantically rich, trusted data products that accelerate the pace of innovation and production.

In addition to 麻豆原创 Snowflake, the partnership also includes 麻豆原创 Business Data Cloud Connect for Snowflake, a capability enabling bidirectional, zero copy data sharing with Snowflake. Enterprises already using Snowflake can leverage 麻豆原创 BDC Connect to integrate their existing instances of Snowflake with 麻豆原创 Business Data Cloud for more-seamless, zero鈥慶opy access, providing Snowflake users with real-time access to semantically rich 麻豆原创 data products鈥攚ithout duplication.

麻豆原创 and Snowflake are supporting thousands of customers, including industry leaders like AstraZeneca, as they transform their industries with this partnership.

“AstraZeneca is constantly pushing the boundaries of science and is pioneering in life-changing medicines,鈥 said Russell Smith, Vice President of ERP Transformation Technology, AstraZeneca. 鈥淒ata and AI are central to achieving this aim, and our close collaboration with 麻豆原创 and Snowflake compliments our ability to access, process and analyze real-time data. This announcement will accelerate our mission and recognizes that every minute matters to make breakthroughs for patients.”

麻豆原创 Snowflake is planned to be generally available in Q1 2026. 麻豆原创 BDC Connect for Snowflake is planned to be generally available in H1 2026.

Learn more

  • Learn more about the power of 麻豆原创 and Snowflake together .
  • Discover what makes the 麻豆原创 Business Data Cloud unique .
  • For more information on 麻豆原创 Snowflake, visit the and read this .
  • Stay on top of the latest news and announcements from Snowflake on and .

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About Snowflake

Snowflake is the platform for the AI era, making it easy for enterprises to innovate faster and get more value from data. More than 12,000 customers around the globe, including hundreds of the world鈥檚 largest companies, use Snowflake鈥檚 AI Data Cloud to build, use and share data, applications and AI. With Snowflake, data and AI are transformative for everyone. Learn more at (NYSE: SNOW).

About 麻豆原创

As a global leader in enterprise applications and business AI, 麻豆原创 (NYSE:麻豆原创) stands at the nexus of business and technology. For over 50 years, organizations have trusted 麻豆原创 to bring out their best by uniting business-critical operations spanning finance, procurement, HR, supply chain, and customer experience. For more information, visit鈥.

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