Open Data on AWS

Share any volume of data with as many people as you want

Learn more about Open Data on AWS at re:Invent 2024 | Register now

When data is shared on AWS, anyone can analyze it and build services on top of it using a broad range of compute and data analytics products, including Amazon EC2, Amazon Athena, AWS Lambda, and Amazon EMR. Sharing data in the cloud lets data users spend more time on data analysis rather than data acquisition.

AWS Data Exchange makes it easy to find datasets made publicly available through AWS services. Browse available data and learn how to register your own datasets.

AWS Public Datasets: Unlocking the Potential of Open Data in the Cloud

Putting data to work on AWS

Examples of how data shared on AWS is accelerating research and creation of new applications.

Allen Institute for Brain Science Shares Research Data on AWS

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Element 84 Uses AWS to Process Large Datasets at Scale

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SpaceNet Accelerates Geospatial Machine Learning using AWS

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What's new

Showing results: 7-9
Total results: 145
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  • Blog Post

    How cities can use transport data to reduce pollution and increase safety

    London's transport authority uses data sharing principles to solve city-wide challenges like air quality and safety, explains former head of open innovation at Transport for London, Rikesh Shah.
    March 2023
  • Video

    Transport For London (Tfl): Opening Our Data Leads To Innovation

    Transport for London (TfL) makes much of its operational data available via open source. Beginning 10 years ago, this approach has allowed companies – including tech start-ups – to develop apps that offer real-time travel advice, transforming passenger journeys, and boosting London’s economy by £130 million a year.
    March 2023
  • Blog Post

    NASA and ASDI announce no-cost access to important climate dataset on the AWS Cloud

    To assist the science community in conducting studies of climate change impacts at local to regional scales, NASA created the NASA Earth Exchange (NEX) Global Daily Downscaled Projections (GDDP) dataset, or NEX-GDDP-CMIP6. This dataset is expected to enhance public understanding of possible future climate patterns at the spatial scale of individual towns, cities, and watersheds. It provides a set of global, high resolution, bias-corrected climate change projections that can be used to evaluate climate change impacts on processes that are sensitive to finer-scale climate gradients and the effects of local topography on climate conditions. As part of the Amazon Sustainability Data Initiative (ASDI), this dataset is available at no cost on the Registry of Open Data.
    November 2022
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Key initiatives

  • Featured

    Earth on AWS

    Visit Earth on AWS to learn about building planetary-scale applications in the cloud with open geospatial data.

Benefits of sharing data on AWS

Global community of users

Global community of users

When you share data on AWS, you make it available to a large and growing community of developers, startups, and enterprises around the world.

Reduced time to insight

Reduced time to insight

In AWS, tools to analyze data are only ever a click away, which means you reduce the time it takes for people to start working with your data.

New services and tools

New services and tools

The AWS Cloud expands daily, and data shared on AWS becomes more useful as new features and services are released.

Lower cost of research

Lower cost of research

Researchers can analyze data shared on AWS without needing to pay to store their own copy. They only pay for the compute they use, and do not need to purchase storage to start a project.

Open Data Sponsorship Program

The AWS Open Data Sponsorship Program covers the cost of storage for publicly available high-value cloud-optimized datasets. We work with data providers who seek to:

  • Democratize access to data by making it available for analysis on AWS
  • Develop new cloud-native techniques, formats, and tools that lower the cost of working with data
  • Encourage the development of communities that benefit from access to shared datasets
Learn how to propose your dataset to the Open Data Sponsorship Program