Unilateral Data Flow Definition
A Unilateral Data Flow is a one-directional integration in which data moves from a single source system into one or more receiving systems, with no data travelling back the other way. The source pushes or exposes records; the receivers consume them but never write back to the origin.
Common examples
A supplier sending a product feed to a retailer's PIM is a unilateral flow: the retailer enriches and publishes the data internally, but corrections are never automatically pushed back to the supplier. Similarly, an MDM platform distributing a verified golden record to an e-commerce platform, a print catalogue system, and a marketplace feed is unilateral: the MDM is the system of record and the downstream systems are consumers only.
When is it the right choice?
Unilateral flows are preferable when one system is the clear authority for a data entity and downstream systems should never overwrite it. They are simpler to govern, easier to debug, and less likely to produce circular update conflicts. Data lineage is straightforward because every record has a single, traceable origin. The trade-off is that feedback from consuming systems — corrections, enrichments, or status updates — must be handled through a separate process rather than automatically flowing back to the source.