- AI-specific marketplaces focus on training data and its rights; cloud marketplaces focus on delivery to their customers.
- Seller terms are rarely published, so ask for revenue share and copy retention in writing.
- Hugging Face is a hub for open data rather than a paid marketplace.
Compared
| Marketplace | Type | Data | Seller model |
|---|---|---|---|
| Defined.ai | AI data marketplace | Text, speech, audio, image, video | Data Partner program; terms not published |
| Protege | Governed AI data platform | Clinical, imaging, video, audio | Revenue share per use |
| Human Native | Content licensing (Cloudflare) | Creator and publisher content | Pricing set through the platform |
| AWS Data Exchange | Cloud marketplace | Files, APIs, Redshift shares | Subscriptions; monthly payout less fees |
| Snowflake Marketplace | Cloud marketplace | Live tabular data | Free or paid listings |
| Databricks Marketplace | Cloud marketplace | Datasets, models, notebooks, apps | Public listings or private exchanges |
| Hugging Face | Open hub | Community datasets | Free; publisher sets license |
Marketplace or broker?
Marketplaces work well for data that can be sold to many buyers on standard terms. Private archives, data needing exclusivity, and deals with complex privacy handling are usually better as direct licenses. Read broker vs marketplace.
Read next
Questions
What is an AI data marketplace?
A platform where datasets for AI training are listed for buyers to find and license, usually on standard terms.
Sources
- Defined.ai: AI data marketplace explainer
- SiliconANGLE: Protege raises $30M to grow its governed marketplace for AI training data (January 2026)
- Techzine: Cloudflare acquires Human Native for AI data marketplace (January 2026)
- AWS: AWS Data Exchange FAQs
- Snowflake documentation: About Snowflake Marketplace
- Databricks documentation: What is Databricks Marketplace?
- Hugging Face documentation: Datasets overview