Reinvent your business with data

Put your data to work on the most scalable, trusted, and secure cloud

Building a business that is sustainable for a long period of time isn't easy. It requires reinvention—likely multiple times over. Only 50% of businesses who were on the Fortune 500 list in 2000 are still there today. The introduction of the cloud set off a generation of reinvention, and now, the next wave of reinvention will be driven by data.

Effective leaders rely on data to make informed decisions, look around corners, and take meaningful action. They build a modern data strategy to deliver insights to the people and applications that need it, securely and at any scale.

Read how leading companies are leveraging data as a strategic asset. 

AWS customers reinventing with data

  • NASA
  • NFL
  • NASDAQ
  • ENGIE
  • DISNEY+
  • NASA
  • NASA

    Explore how NASA's Mars Mission uses AWS to help astronauts, scientists, and everyday heroes do their jobs better with data.

    Learn more »

  • NFL
  • NFL

    The NFL built a digital athlete that simulates every game scenario. Learn from Jennifer Langton, SVP of Health and Innovation at the NFL, on how AI and machine learning are transforming player safety.

    Watch the video »

  • NASDAQ
  • Nasdaq Migrates Its Growing Data Warehouse to a More Modern Data Lake Architecture
    Nasdaq

    AWS helped NASDAQ migrate to a modern data lake architecture. Hear how Robert Hunt, VP Software Engineering at NASDAQ, talk about their modern analytics solution that helped them manage costs and take advantage of additional analytics.

    Watch the video »

  • ENGIE
  • ENGIE

    ENGIE built their Common Data Hub to give users across the company fast access to data. Hear from Yves Le Gélard, CIO and Chief Data Officer at ENGIE, on how they’ve streamlined operations and can make key energy predictions to drive toward a carbon-neutral future.

    Read the case study »

  • DISNEY+
  • Disney+ Databases Analytics ML

    DISNEY+

    Explore how The Walt Disney Company uses AWS to support the global expansion of Disney+ using machine learning, databases, and analytics.

    Learn more »

A Modern Data Strategy

The ideal data strategy isn’t one size fits all. It’s adapted for your needs. It gives you the best of both data lakes and purpose-built data stores. It lets you store any amount of data you need at a low cost, and in open, standards-based data formats. It isn’t restricted by data silos, and lets you empower people to run analytics or machine learning using their preferred tool or technique. And, it lets you securely manage who has access to the data.

  • Data stored at any scale
  • The best price-performance
  • Unified data access, security, and governance
  • AI and ML to solve business challenges
  • Data stored at any scale
  • Data stored at any scale

    Move and store any amount of data from various silos into an Amazon S3 data lake in standards-based open data formats and avoid getting locked into any one proprietary approach to analytics. An S3 data lake gives you unmatched scalability, reliability, security, governance capabilities, and cost-effective performance.

  • The best price-performance
  • The best price-performance for all of your applications and analytics needs

    AWS provides the broadest and deepest set of purpose-built data services optimized to give you the best in class functionality for all your workloads. With AWS, you can use the right tool for the right job so you don’t have to compromise on functionality, performance, scale, or cost.

    AWS offers database engines for every application need, including relational, key-value, document, in-memory, graph, time series, wide column, and ledger databases. We have analytics services optimized for your unique use cases, including data warehousing, big data processing, interactive analytics, real-time analytics, operational analytics, and visualizations. And we offer the broadest and deepest set of machine learning services and supporting cloud infrastructure, including AI services, ML services, ML infrastructure, and industry specific solutions.

    View database services » View analytics services » View machine learning services »
  • Unified data access, security, and governance
  • Unified data access, security, and governance

    AWS automatically discovers, tags, catalogs, and keeps your data in sync across your data lake, data warehouses, and purpose-built data stores. You can centrally define and manage security, governance, and auditing policies to satisfy regulations specific to your industry and geography.

    View how AWS helps you meet regulatory and industry compliance standards like GDPR »
  • AI and ML to solve business challenges
  • AI and ML to solve business challenges

    Whether you want to enhance your customer experience, improve productivity and optimize business processes, or speed up and scale up innovation, you can access the most complete set of ML and AI services to meet your business needs. AWS has services that aggregate and prepare data, and solutions built for specific industry use cases. You can build, train, and deploy ML models quickly with Amazon SageMaker – a fully managed service that provides the tools required for every step of the ML development lifecycle in one integrated environment.

The AWS advantage

Bring your data to the most scalable, trusted, and secure cloud.

Tens of thousands

of data lakes on AWS

> 350,000

databases migrated to AWS

90%

deep learning projects run on AWS

1,000s

global compliance requirements met—more security and compliance certifications than anywhere else

How AWS can help put your data to work

Modernize

Modernize your data infrastructure

Organizations running legacy, on-premises data stores or self-managing in the cloud still have to take care of management tasks such as database provisioning, patching, configuration, or backups. AWS takes care of this for you. Benefit from AWS’s unmatched experience, maturity, reliability, security, and performance that you can depend upon for your most important applications.

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Unify

Unify the best of both data lakes and purpose-built data stores

To make decisions quickly, you need new data stores that will scale and grow as business needs change. You also want to be able to connect everything together, including your data lake, data warehouse, and all of the purpose-built data stores into a coherent system that is secure and well governed. AWS helps you do this through the best of both data lakes and purpose-built data stores.

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Innovate

Innovate new experiences and reimagine old processes with AI/ML

Machine Learning is one of the most disruptive technologies of our generation. It can help create entirely new revenue opportunities, make better and faster decisions, or improve operational efficiencies. AWS meets you where you are in your journey with the broadest and most complete set of ML and artificial intelligence services for builders of all levels of expertise.

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Let's get started

Speak to an AWS representative to start reinventing your business with data.