Story
Tapestry Adopts MongoDB for Partner Exchange
Tapestry, a consumer discretionary organization in the United States, uses Atlas Stream Processing from MongoDB to support partner data exchange for data platform and lines of business.
Value results
| Category | Value result |
|---|---|
| Productivity | Handoffs in partner data exchange sit in a shared queue instead of a mailbox trail |
| Risk and compliance | Atlas Stream Processing is the governed place data platform and lines of business use for partner data exchange |
| Capability | New joiners can see how partner data exchange actually runs |
Story
Tapestry did not need another dashboard that nobody opened. It needed partner data exchange to move. In the United States, data platform and lines of business already knew where secure data sharing went wrong: too many copies, too little ownership, and a close process that waited on the loudest inbox.
Atlas Stream Processing from MongoDB is now in that path. MongoDB provides a developer data platform, with Atlas as the managed service for document, search, and vector workloads. The company treats it as production tooling for partner data exchange, which is why data platform and lines of business live in it rather than exporting from it once a quarter.
Tapestry can show how secure data sharing is handled today. That is the value: a repeatable way to run partner data exchange on software the rest of the industry already recognizes.