Imagine a simple, standardized, data-source-agnostic data quality service that could complement existing approaches and dramatically improve data health through rapid feedback loops.

GraphQL and OpenAPI define agreements between data consumers and providers, but they have significant differences in capabilities and contract specifications. Whichever you use, it's essential to be intentional, understand your use case, and design for the best outcome.

Leveraging the supergraph architecture to achieve data governance objectives is a strategic play that delivers a solid return on investment. It reduces complexity, lowers costs, and improves metadata accuracy.