Amazon Web Services
To support today’s data analytics, companies need a data platform. One that offers rapid deployment, on-demand scalability, and compelling performance at significantly lower cost than existing solutions. Snowflake Cloud Data Platform on Amazon Web Services (AWS) represents a SQL data warehouse that requires zero management, and combines all your data, all your users, allows data sharing and you pay for only what you use.
On this page, you can read about joint customer references with Snowflake and AWS, Snowflake and data lake use case, Snowflake AWS Marketplace listings, Snowflake integration with Sagemaker, announcements around Retail Competency, Privatelink, AppFlow, and getting hands-on training with Virtual hands-on Labs
Read the latest about what AWS has to say about their Snowflake partnership here
Snowflake’s data warehouse as a service means we can have an enterprise-class data warehouse built on the enterprise-class AWS cloud without the complexity and cost of traditional solutions.
– Martin Longo, CTO, Revana
Our customers want solutions like Snowflake that are built on AWS and designed with the cloud in mind. Their support of SaaS Subscriptions on AWS Marketplace makes it even easier for customers to procure and deploy Snowflake for their data and analytics needs.
– Barry Russell, GM of Global Business Development, AWS Market Place and Catalog Services
Snowflake and AWS helping customers with COVID data
See how HC1 delivers Rapid Insights into Covid-19 testing with Snowflake and AWS.
How Petco transformed its legacy business for the next generation
After a successful migration to Snowflake on AWS, Petco increased its ability to scale and have concurrent users while being cost-effective, reliable, and secure. With these new business benefits, Petco can deliver a better experience for its end customers, both online and in-store.
How EA Improved Data Democratization
Learn from the Electronic Arts (EA) about how EA improved data democratization across the business through a combination of AWS tools, Snowflake, and Slack as a backend system for analytics queries.
Machine Learning within Reach
Activate your data lake for ML and AI with Snowflake and Amazon Sagemaker.
Instacart: AWS re:Invent 2018: How Instacart’s Catalog Flourished While Hyper-Growing
Learn how Instacart reimagined its catalog data processing pipeline to utilize Snowflake, the data warehouse built for the cloud.
Overstock.com: Powering the eCommerce Marketplace with Data Sharing
Hear how Overstock.com uses the Snowflake Data Sharehouse for live, governed, secure partner data sharing as it scales to deliver four million products across 35 million visitors per month.
Research Now Reinvents its Data Warehouse with Snowflake on AWS
Read how scalability played a major role in Research Now's decision to deploy Snowflake on AWS.
IAC Publishing Labs Turns Data into a Business Accelerator with Snowflake on AWS
Discover how Snowflake on AWS provides IAC Publishing with new way to look at data.
DoubleDown on Snowflake and AWS
See how DoubleDown delivers fast, scalable analytics using Amazon S3 and Snowflake.
Snagajob: Connecting Job Seekers & Employers with the Power of Data
See how Snagajob is benefiting from having one source of truth for all their data, increasing query speed 3x, and scaling compute on demand with Snowflake.
Customer Reference: ARC (Airline Reporting Company) for Privatelink
See how Snowflake uses AWS Privatelink as a solution for their customer ARC.
Logitech: Improving Reporting Performance by 40-70% with Snowflake
Learn how Snowflake allowed Logitech data teams to move away from operating as a support org to a more service-oriented organization.
A Move to the Cloud: How ARC Migrated Their On-Prem Data Warehouse to Snowflake
Discover how ARC eliminated issues related to on-premises data warehouse by migrating different workloads to Snowflake, the leading cloud data platform, with the help of Slalom