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AWS Data Exchange vs Intertrust Analytics Marketplace

AWS Data Exchange

aws.amazon.com

Intertrust Analytics Marketplace

intertrust.com

Side by side

FigureAWS Data ExchangeIntertrust Analytics Marketplace
Price fromFree—
Free planYes—
Free trial—Yes
Open source——
WebYesYes
APIYes—
Self-hosted—Yes
Plans published30
Spec score · Data Marketplace Software8.0 (#4)7.5 (#12)

Plans

AWS Data Exchange

  • Free and open data productsFree
  • Pay-as-you-go data productsPrice not published
  • Subscription-based data productsPriced on request

AWS Data Exchange pricing →

Intertrust Analytics Marketplace

No plans published.

Intertrust Analytics Marketplace pricing →

In their own words

AWS Data Exchange

AWS Data Exchange is a marketplace for finding, subscribing to, and sharing data products. It has more than 3,500 products from over 300 providers, including over 1,000 free data products and custom data products. Offerings can be delivered as files, through APIs, or as Amazon Redshift, Amazon S3, and AWS Lake Formation data sets; Lake Formation is marked Preview. Data can be exported to S3 and analyzed with Athena or Redshift, or used with SageMaker, EMR, Glue, and Lake Formation. CloudWatch Events can retrieve new data-set revisions to S3 automatically. The service encrypts data in transit with SSL/TLS and at rest with server-side encryption, and CloudTrail integration supports API-call auditing. Providers can offer free or paid subscriptions lasting 1 to 36 months, with private offers allowing customized terms. Prices for paid products are set by providers, and subscribers may also incur standard S3 transfer charges and costs for AWS services used to store, process, or analyze data. Public Open Data on AWS products can be accessed with or without an AWS account.

Visit aws.amazon.com

Intertrust Analytics Marketplace

Intertrust Analytics Marketplace connects data providers, data consumers, and analytics service providers to offer and use datasets, analytics, and AI or machine-learning services. Participants can create, share, test, deploy, and monetize data-related products. Providers can publish selected datasets to private or public libraries using controlled Data Virtualization. Consumers can explore and evaluate public catalog datasets, subscribe to them, or request access to private datasets. Analysts can build custom analytical services and test or deploy AI and machine-learning models in rights-managed secure execution environments. Customizable controls govern the distribution and use of curated datasets and analytical products. Those environments support data stored on premises or in AWS, Azure, or Google Cloud; Intertrust Platform can run on those cloud platforms or in on-premises data centers. Described use cases include automotive, energy and utilities, and insurance. Intertrust says its SOC 2 Type II audit covers security, availability, and confidentiality, with annual renewal; current and prospective customers may access the full report under NDA. Pricing is on request. A free trial is linked, but its duration and terms could not be verified.

Visit intertrust.com