Domo Inc. Expands Partnership with Snowflake to Enhance AI-Driven Analytics and Data Integration Solutions

Reuters
06-27
<a href="https://laohu8.com/S/DOMO">Domo Inc.</a> Expands Partnership with <a href="https://laohu8.com/S/SNOW">Snowflake</a> to Enhance AI-Driven Analytics and Data Integration Solutions

Domo Inc., a leading AI and Data Products platform, has announced an expanded collaboration with Snowflake, the AI Data Cloud company, to enhance AI-driven analytics and data integration capabilities. This partnership introduces a comprehensive suite of applications on the Snowflake Marketplace, enabling customers to seamlessly integrate, transform, and analyze data within a secure, scalable environment powered by advanced AI capabilities. The collaboration allows Domo to offer a fully managed analytics and BI solution, simplifying deployment and management for customers by operating the Snowflake environment. Key solutions include over 1,000 pre-built connectors, Magic ETL for scalable data transformations, and Reverse ETL for real-time data synchronization, all aimed at accelerating AI-driven insights and simplifying operations for businesses.

Disclaimer: This news brief was created by Public Technologies (PUBT) using generative artificial intelligence. While PUBT strives to provide accurate and timely information, this AI-generated content is for informational purposes only and should not be interpreted as financial, investment, or legal advice. Domo Inc. published the original content used to generate this news brief via Business Wire (Ref. ID: 20250626206229) on June 26, 2025, and is solely responsible for the information contained therein.

免責聲明:投資有風險,本文並非投資建議,以上內容不應被視為任何金融產品的購買或出售要約、建議或邀請,作者或其他用戶的任何相關討論、評論或帖子也不應被視為此類內容。本文僅供一般參考,不考慮您的個人投資目標、財務狀況或需求。TTM對信息的準確性和完整性不承擔任何責任或保證,投資者應自行研究並在投資前尋求專業建議。

熱議股票

  1. 1
     
     
     
     
  2. 2
     
     
     
     
  3. 3
     
     
     
     
  4. 4
     
     
     
     
  5. 5
     
     
     
     
  6. 6
     
     
     
     
  7. 7
     
     
     
     
  8. 8
     
     
     
     
  9. 9
     
     
     
     
  10. 10