If you already trust Fivetran for landing data into Databricks, the missing piece is not another ingestion tool. It is a control plane that governs promotion, policy, compatibility, and downstream consumption after data lands.
Data mesh isn't dead—it was never properly born. The four principles are exactly right. What failed was implementation. DataSurface implements all four data mesh principles as first-class architectural primitives, not as afterthoughts bolted onto a pipeline tool.
There's a fundamental difference between reporting non-compliance and making non-compliance impossible. Most enterprises are investing heavily in catalogs and calling it governance. It isn't. Structural governance means non-compliance is architecturally impossible.
DataSurface enforces data contracts through PR workflows, ensuring backward compatibility, controlled deprecation, and mutual approval between producers and consumers. This creates a system where breaking changes are caught early and governance is built into the development process.
Many CDOs expect that signing a multi-year deal for one of the big data vendor products will lead to immediate productivity gains. But the real work—and the real costs—begin after the contract is signed.
Today’s data landscape looks eerily like the 90s internet—dominated by proprietary walled gardens. DataSurface is the "HTTP for Data," an open protocol layer that connects producers and consumers while keeping you in control of your destiny.