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AWS Data Exchange

Score10 out of 10

9 Reviews and Ratings

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What is AWS Data Exchange?

AWS Data Exchange is an integration for data service, from which subscribers can easily browse the AWS Data Exchange catalog to find relevant and up-to-date commercial data products covering a wide range of industries, including financial services, healthcare, life sciences, geospatial, consumer, media & entertainment, and more.

Categories & Use Cases

Key Features

Learn about the best (and worst!) features AWS Data Exchange has to offer, as determined by TrustRadius' reviewers.
Based on 9 ratings of AWS Data Exchange's features
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Top Performing Features

  • Connecto to Big Data and NoSQL

    Ability to connect to non-traditional data sources like Hadoop and other big data technologies, and NoSQL databases

    Category average: 7.6

  • Data model creation

    Ability to create and maintain data models using a graphical tool to define relationships between data

    Category average: 8.3

  • Metadata management

    Automated discovery of metadata with ability to synchronize and share metadata with other tools like Master Data Management

    Category average: 7.4

Areas for Improvement

  • Business rules and workflow

    Ability to define and manage business rules and workflows

    Category average: 8.1

  • Testing and debugging

    Tool to debug and tune for optimal performance

    Category average: 7.1

  • Integration with data quality tools

    Integration with tools for cleansing, parsing and normalizing data according to business rules

    Category average: 7.2

Reviews

What users are saying about AWS Data Exchange.
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Very Poor and Risky Experience with AWS Data Exchange

Ike BennionView profile
General Manager of Product-Led Growth in Product Management at Visier Inc. (501-1000 employees employees)

Use Cases and Deployment Scope

We wanted to use AWS Data Exchange to list, sell and deliver our dataset in the open market. We have roughly 22 datasets that cover specific topical areas and industries. We update these sets on a monthly or quarterly basis depending on the data.

Pros

  • Allow you to make private transactions of data
  • Organize your datasets
  • Provide custom legal data services agreements

Cons

  • Poor transparency for sellers
  • Little verification of accounts requesting subscriptions
  • Confusing, buggy and misleading UX
  • Very poor development focus, roadmap and investment in the product
  • Bad experience for buyers of the data
  • Poor account service

Return on Investment

  • AWS Data Exchange required a lot of time to setup and was hard to QA
  • We have had a lot of traffic flow to ADX with no conversion.
  • We had bad transactions because of compromised accounts, but AWS doesn't provide sellers with enough information/verification to trust subscription request
  • Buggy user experience so there have been erroneous details about our listings
  • Confusing documentation that is often not detailed enough or erroneous

AWS Data Exchange is a refreshing new way to publish datasets for sale

Incentivized
Ramindu DeshapriyaView profile
Lead Consultant - Technology in Information Technology at Virtusa (10,001+ employees employees)

Pros

  • Simplified data delivery
  • Ability to create any amount of data products
  • Ability to integrate payment plans with data products
  • Tracking data downloads and users
  • Integration with other AWS data services

Cons

  • Integration with more data sources
  • Ability to deliver data to clients without AWS accounts
  • Inclusion of direct data downloads in addition to asynchronous methods

Return on Investment

  • Reduced time to publish datasets for sale by more than 80%
  • Increased net profit from dataset sales by ~10%
  • Reduced data delivery time to clients by 15%

Other Software Used

AWS CloudFormation, AWS CodeDeploy, AWS CodePipeline, AWS Lambda, PyCharm, Jupyter Notebook, Docker, AWS Elastic Beanstalk