In the given Snowflake scenario, what is the BEST architecture for sharing POS data with 500+ retailers using Snowflake?

• A. Publish data on Snowflake Marketplace.
• B. Share data via a single direct data share with all retailers.
• C. Set up a data exchange. Invite B2B retailers as providers and consumers. Have them create and publish a data listing of their respective POS information.
• D. Share data via email attachments only.

Answer: (C)

For sharing POS data with a large number of retailers, a Snowflake Data Exchange with invited providers and consumers is the scalable, governed pattern. By setting up a data exchange, you publish POS data as a listing and invite retailers to join as consumers. Each retailer can subscribe to the listing in their own Snowflake account, accessing the data with defined entitlements, metadata, and refresh logic. This approach handles hundreds of participants smoothly, gives you centralized governance and auditing, and supports easy onboarding, updates, and revocation.

A single direct data share to all retailers becomes unwieldy at this scale and lacks the built-in governance, metadata, and self-service subscription flow. Snowflake Marketplace focuses on discoverability but often doesn’t provide the same granular control and governance needed for a large B2B retailer network. Email attachments are insecure and non-scalable.