To place it extra bluntly: Management is finite; affect is compounding. SQL didn’t kill Oracle or SQL Server—it made them larger companies. Kubernetes didn’t commoditize cloud—it redirected competitors towards managed expertise, safety, and reliability. The identical dynamic is obtainable to MongoDB.
After all MongoDB gained’t be the one vendor that advantages, however that’s a characteristic, not a bug. AWS, Google, and others are piling into DocumentDB as a result of they, too, hope to profit (and can make investments commensurate with these anticipated returns). My employer, Oracle, hasn’t introduced help for the usual, but Oracle would additionally profit. Oracle Database 23ai launched JSON Relational Duality, which lets builders current and replace the identical underlying relational knowledge as updatable JSON paperwork—with out duplicating knowledge—and entry it by way of MongoDB-compatible APIs, REST, and SQL. It’s very cool. Requirements are likely to allow this type of “have it each methods,” and ecosystems are likely to amplify it. If a impartial doc customary nails API conduct and semantics, distributors can innovate on how they retailer and optimize knowledge beneath that API—precisely what Oracle is doing by unifying doc and relational on one engine.
In any other case said, when the floor space (the developer expertise and API) is predictable, consumers select primarily based on operational excellence, scale, governance, and adjoining capabilities (analytics, AI, safety). That’s the place MongoDB has invested for a decade with Atlas. A typical doesn’t erase that; it spotlights it.
