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.
Videos
Equinox drives personalized customer experiences with an AWS data lake architecture. (1:58)
Nielsen built an innovative cloud-native data reporting platform on AWS. (2:07)
OLX leverages Amazon Redshift's performance and innovation for best in class customer experiences. (2:07)
WB Games: The Art of Data-Driven Storytelling (4:05)
With nearly 100 years in entertainment, Warner Bros. believes in the power of great stories. DC, Game of Thrones, and Mortal Kombat are just a few of the globally recognizable franchises that WB has adapted across every platform from movies to video games. WB Games uses data to help inform the creative process of developing games. Using AWS services like Amazon Redshift, WB Games is able to capture, ingest, analyze, and action insights to help developers become more opportunistic and agile with their approach to storytelling.
Nasdaq migrated its growing data warehouse to a more modern data lake architecture. (2:25)
INVISTA Innovates Production Processes with AWS Data Lakes (2:18)
INVISTA, a global chemical and fiber manufacturing company, built its data lake environment on AWS to pull all of its data from its global plant sites into one central location. Using AWS Lake Formation to automate its data lake creation as well as Amazon S3 for the data lake environment, INVISTA can quickly gather information, add context, and get insights that allow the company to innovate. INVISTA uses AWS Glue to catalog its data, as well as Amazon Redshift for its data warehouse environment.
"Amazon Kinesis Data Streams processes multiple terabytes of log data each day, yet events show up in our analytics in seconds. We can discover and respond to issues in real time, ensuring high availability and a great customer experience.”
-John Bennett, Senior Software Engineer at Netflix
Case studies
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Total results: 4307
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Financial Services
Nubank on AWS
With 4,500 microservices and over 110 million customers, Nubank depends on AWS and Honeycomb for deep observability.
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Electronics
Razer's Game-Changing Traceable Carbon Neutral Shopping Cart
While it may seem odd that a brand best known for its gaming peripherals is developing a carbon-neutral checkout solution for its customers, this is just one of the ways that Razer Inc. (Razer) is contributing toward a carbon-neutral world. As part of its Environmental, Social, and Governance (ESG) initiative in November 2022, the dual-headquartered (US and Singapore) technology company launched Restorify. The solution provides Razer’s customers with up-to-date estimates of their carbon footprints and, with each purchase, empowers its customers to make direct contributions toward carbon-offsetting programs. -
Software & Internet
Datadog Used AWS Graviton to Deliver More Value While Keeping Costs Constant
Datadog, a cloud monitoring and analytics platform company, needed to offer more product features and serve more customers. They were looking for new innovation that they can adopt to deliver more value for our customers. Datadog adopted AWS Graviton-based Amazon Elastic Compute Cloud (Amazon EC2) instances to pass savings to their customers by delivering more features per compute cycles and serving more customers with an identical number of cores. -
Media & Entertainment
Canal+ on AWS
As a leader in OTT across 40+ countries, Canal+ works with AWS to power its cloud migration and innovation strategy.
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Professional Services
How Infosys improved accessibility for Event Knowledge using Amazon Nova Pro, Amazon Bedrock and Amazon Elemental Media Services
Knowledge from events and workshops is often lost due to inadequate capture methods, with traditional note-taking being incomplete and subjective. Reviewing lengthy recordings to find specific information is time-consuming and inefficient, creating barriers to knowledge retention and sharing. People who miss events face significant obstacles accessing the knowledge shared, impacting sectors like education, media, and public sector where information recall is crucial.
Blogs
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.
Reference Architectures
Customers Innovating with AWS Analytics
