Snowflake, an AI Data Cloud company, announced it has exceeded $2 billion in sales within AWS Marketplace in a calendar year, doubling its transaction growth year-over-year. This milestone reflects an ongoing strategic collaboration with Amazon Web Services (AWS), aimed at accelerating adoption, simplifying procurement, and fostering global expansion for customers utilizing Snowflake’s platform through AWS Marketplace. The collaboration focuses on enabling customers to modernize their data platforms and develop AI-ready architectures, leveraging open standards and unified governance.
The achievement was accompanied by Snowflake receiving 14 AWS Partner Awards, including recognition as the Global Data & Analytics Technology Partner of the Year for the third consecutive year, Global Generative AI Tool Partner of the Year, and Global Infrastructure Technology Partner of the Year.
Mike Gannon, Chief Revenue Officer at Snowflake, commented on the collaboration, stating that it helps organizations modernize and extract new value from their data. He highlighted that exceeding the $2 billion mark in AWS Marketplace transactions and the global partner recognition underscore the relevance of Snowflake’s innovations in the AI era. Gannon further noted that the integration between Snowflake’s data and AI platform and AWS services is driving growth and enabling customer transformations.
Ruba Borno, VP, Global Specialists & Partners at AWS, emphasized that Snowflake’s growth in AWS Marketplace demonstrates the effectiveness of removing procurement barriers to enterprise innovation. Borno stated that AWS Marketplace streamlines software purchasing through consolidated billing, simplified workflows, and integration with AWS environments, reflecting a shared commitment to facilitating access to data and AI solutions for customers.
Enterprises such as AstraZeneca, Booking.com, and DraftKings are among those utilizing Snowflake via AWS Marketplace to achieve operational results. This procurement method enables them to deploy Snowflake’s fully managed data and AI platform within their existing AWS environments, maintaining necessary governance, security, and scalability for AI-driven initiatives.
Thomas Davey, Chief Data Officer at Booking.com, explained that data and AI are central to delivering travel experiences. He stated that the combination of Snowflake’s AI Data Cloud and AWS infrastructure provides the flexibility and scalability needed for experimentation, personalization, and innovation, alongside essential performance, security, and governance controls. Zach Maybury, Chief Technology Officer at DraftKings, noted that Snowflake on AWS is crucial for modernizing their data foundation and accelerating innovation, offering the scale, speed, and rigor to generate real-time insights while upholding governance and reliability in a regulated industry.
Snowflake and AWS are delivering enterprise-grade technologies that combine AWS’s security infrastructure and generative AI services with Snowflake’s data and AI platform. This enables customers to build and deploy applications securely, driving efficiency and innovation. Through AWS Marketplace, customers can access joint capabilities more easily, streamlining procurement and speeding up access to Snowflake’s AI Data Cloud’s integrations with AWS services. Innovations are designed to eliminate data silos and vendor lock-in, allowing for secure AI use without costly data movement.
New joint product innovations include connecting Snowflake Agents with Amazon Bedrock AgentCore, enabling access to Snowflake Cortex Agents, Snowflake Managed MCP server, and Cortex AI services from Amazon Bedrock AgentCore. Catalog Federation between AWS Glue Data Catalog and Snowflake Catalogs now allows access to Iceberg-format data managed by the Snowflake Horizon Catalog directly through AWS Glue Data Catalog, minimizing data duplication and movement. Catalog-Linked Databases from Snowflake to AWS Glue Data Catalog enable automatic discovery and synchronization for read/write access without creating individual externally managed Iceberg tables, supporting vended credentials and Amazon S3 Tables for simplified management and governance. Additionally, Snowflake’s support for the Iceberg V3 Table Spec enhances interoperability for semistructured data (VARIANT), geospatial data types, and row lineage across multi-cloud and hybrid environments.
