BigQuery sharing vs Intertrust Analytics Marketplace
BigQuery sharing
cloud.google.comIntertrust Analytics Marketplace
intertrust.comSide by side
| Figure | BigQuery sharing | Intertrust Analytics Marketplace |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| API | Yes | — |
| Self-hosted | — | Yes |
| Plans published | 1 | 0 |
| Spec score · Data Marketplace Software | 7.5 (#10) | 7.5 (#12) |
| Founded | 1998 | 1990 |
| Headquarters | Mountain View, California, United States | Intertrust lists its California headquarters in Berkeley. |
| Intended users | The documentation describes publisher, subscriber, viewer, and administrator roles for sharing data within an organization or with partners. | The marketplace is presented for data providers, data consumers, and analytics developers, with examples spanning automotive, energy and utilities, and insurance. |
| Purpose | BigQuery sharing lets organizations share, discover, and access data and insights across organizational boundaries. | The Intertrust Analytics Marketplace brings data providers, data consumers, and analytics developers together to offer, create, share, test, deploy, and monetize data-related products and services. |
Plans
In their own words
BigQuery sharing
BigQuery sharing has no write-up on Specifiction yet; its figures are above.
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.