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: 4382
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Digital Marketing
Universe Group Uses Amazon SageMaker to Power AI-Driven Photo and Video Editing
Universe Group uses Amazon SageMaker to power Visify, an AI-powered editing app that has gained nearly 900,000 users worldwide in just 9 months and processed over 600,000 unique images and videos. -
Software & Internet
Qovery : une plateforme d’automatisation DevOps pour simplifier la gestion du Cloud
Fondée en 2019, Qovery est une plateforme d’automatisation DevOps qui simplifie la gestion des infrastructures et le déploiement d’applications sur le Cloud. -
Software & Internet
Lettria : Rendre les réponses des applications d'IA plus transparentes grâce au Cloud
Fondée en 2019 à Paris, Lettria révolutionne l'IA générative en la rendant plus transparente et compréhensible pour les professionnels. Grâce à sa technologie GraphRag et son intégration avec AWS Bedrock, la startup permet d'améliorer la précision des réponses de 50% à 80%, offrant une solution cloud native d'IA explicable accessible en un clic. -
Gaming
Soft2Bet Enhances the Player Experience and Saves 55% on Infrastructure Costs Using AWS
iGaming turnkey solutions provider Soft2Bet migrated its analytics and core infrastructure to AWS, reducing costs by 55 percent and time to market by over 200 percent while improving game performance. -
Software & Internet
CAMB.AI Creates Breakthrough Voice AI Using High-Performance GPUs from AWS
Using GPUs and global infrastructure from AWS, CAMB.AI offers live, accurate AI dubbing in over 150 languages for clients around the world. -
Software & Internet
Hackuity : Le Cloud au service de la gestion des failles de sécurité
Fondée en 2018, Hackuity est une startup française qui transforme la gestion des vulnérabilités en cybersécurité. Sa plateforme cloud, hébergée sur AWS, permet aux entreprises d'identifier et de prioriser efficacement les risques critiques, offrant une approche ciblée plutôt qu'une gestion exhaustive des vulnérabilités.
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
