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  3. AWS Data Exchange
Logo of AWS Data Exchange

AWS Data Exchange

byAmazon Web Services (AWS)
in Data Marketplaces and Exchanges
4.0

Overview

Overall experience with AWS Data Exchange

Research And Development Associate
1B - 3B USD, Healthcare and Biotech
FAVORABLE

“Streamlined Access to Third-Party Data Within AWS”

4.0
Apr 7, 2026
This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions.
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CRITICAL

Key Insights

A Snapshot of What Matters - Based on Validated User Reviews

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About Company

Company Description

Updated 6th March 2025

Amazon Web Services (AWS), established in 2006, is focused on providing essential infrastructure services to businesses globally in the form of cloud computing. The key advantage offered through cloud computing, particularly via AWS, is its capacity to shift fixed infrastructure expenses into flexible costs. Businesses have been able to forgo extensive planning and procurement of servers and other Information Technology (IT) resources, owing to AWS. AWS seeks to provide businesses with prompt and cost-effective access to resources using Amazon's expertise and economies of scale, as and when their business requires. Currently, AWS offers a robust, scalable, economic infrastructure platform on the cloud powering an extensive array of businesses worldwide. It operates across numerous industries with data center locations in various parts of the globe including U.S., Europe, Singapore, and Japan.

Company Details

Updated 23rd December 2024
Company type
Public
Year Founded
2006
Head office location
Seattle, United States
Number of employees
10001+
Website
http://aws.amazon.com

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Peer Discussions

AWS Data Exchange Reviews and Ratings

4.0

(1 Rating)

Rating Distribution

5 Star
0%
4 Star
100%
3 Star
0%
2 Star
0%
1 Star
0%
Why ratings and reviews count differ?
  • Research And Development Associate
    1B-10B USD
    Healthcare and Biotech
    Review Source

    Streamlined Access to Third-Party Data Within AWS

    4.0
    Apr 7, 2026
    AWS Data Exchange makes it much easier to work with third-party datasets without dealing with separate ingestion pipelines. It removes much of the friction typically associated with acquiring external data by handling delivery, updates, and access control through a managed service. This is particularly useful for analytics and ML use cases where combining datasets is important. The platform is particularly useful for organizations that rely on commercial or public datasets and want a consistent way to manage them. Integration with S3, Redshift, and SageMaker helps streamline downstream usage.
  • Research And Development Associate
    1B-10B USD
    Healthcare and Biotech
    Review Source

    Streamlined Access to Third-Party Data Within AWS

    4.0
    Apr 7, 2026
    AWS Data Exchange makes it much easier to work with third-party datasets without dealing with separate ingestion pipelines. It removes much of the friction typically associated with acquiring external data by handling delivery, updates, and access control through a managed service. This is particularly useful for analytics and ML use cases where combining datasets is important. The platform is particularly useful for organizations that rely on commercial or public datasets and want a consistent way to manage them. Integration with S3, Redshift, and SageMaker helps streamline downstream usage.
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Reviewer Insights for: AWS Data Exchange

AWS Data Exchange Likes & Dislikes

Like

- Reduces effort required to ingest and maintain external datasets - Seamless integration with AWS analytics and ML services - Managed delivery and update handling

Like

- Reduces effort required to ingest and maintain external datasets - Seamless integration with AWS analytics and ML services - Managed delivery and update handling

Like

- Reduces effort required to ingest and maintain external datasets - Seamless integration with AWS analytics and ML services - Managed delivery and update handling