AWS Analytics Customers
From emerging start-ups to large enterprises, more analytics solutions are built on AWS than anywhere else.
Customers leverage AWS Analytics as the fastest way to get answers from all of their data to all their users. The breadth and depth of analytics services on AWS makes it easy to spin up the right resources to run whatever analysis is most appropriate for a specific need. Deep integration between all the layers of the AWS analytics stack gives builders the tools to quickly analyze data using any approach.
Woot designed a cloud-native data warehouse as a replacement for their legacy data warehouse built on a relational database. As s result, their operational costs fell by 90%.
3M Health Information Systems modernized their data warehouse with Amazon Redshift and built a healthcare reporting tool.
After evaluating multiple options, Innovid chose Redshift for scaling their datawarehouse. It allows them to predict their data analytics costs while keeping it within budget and easily access their data lake on Amazon S3 to maximize flexibility in analyzing their data.
Innovaccer is helping healthcare organizations activate their healthcare data. With Amazon Redshift, they were able to achieve the best-rated time-to-value in transforming data to analytics and delivering ROI. Innovaccer’s platform could integrate data across multiple sources in about half the time compared to industry standards and at 70% less cost.
Amazon is solving big-data challenges with data lakes. By storing data in a unified repository in open standards-based data formats, data lakes allow you to break down silos, use a variety of analytics services to get the most insights from your data, and cost-effectively grow your storage and data processing needs over time.
To protect Siemens from cybercrime, the Siemens Cyber Defense Center (CDC) continuously monitors Siemens’ networks and assets. To handle the resulting enormous data load, the CDC built a next-generation threat detection and analysis platform called ARGOS. ARGOS is a hybrid-cloud solution that makes heavy use of fully managed AWS services for streaming, big data processing, and machine learning.