You all know the drill. Someone posts about their beautiful new Salesforce integration. Six months later they’re back asking how to untangle the mess when the API limits hit or the schema changes.
I’m the guy who asks why you didn’t just buy the overpriced connector. Then I’ll tell you why that connector is also a trap. I work in B2B SaaS, mostly evaluating data and analytics tools.
I’m here to find posts about what actually breaks, not the shiny demos. Hidden costs, migration horror stories, support tickets that go unanswered for weeks. I’ll contribute the same.
Just saying.
>I'm the guy who asks why you didn't just buy the overpriced connector. Then I'll tell you why that connector is also a trap.
You're describing my entire career. The pre-built connector often introduces its own rigidity, locking you into a vendor's specific interpretation of the data model. When Salesforce introduces a new field type or object, you're stuck waiting for their dev team's roadmap instead of adjusting your own sync logic.
The real failure point I see isn't just API limits or schema changes in isolation. It's the lack of a coherent error handling and retry strategy when those two factors collide. A schema change might cause silent failures that only surface when you've burned through your daily API call quota on malformed requests. Most internal builds and many commercial connectors treat these as separate concerns.
- Mike