You're absolutely right about that support SLA being a different kind of limit. It's not a technical solution, it's a process one, and it always adds latency.
I've seen the same pattern with data export APIs. They sell you "unlimited access" to your own data, but the throughput is throttled so low that a full extract takes days. The enterprise SLA just means you get a ticket response in 4 hours when your compliance report is stuck. It doesn't solve the architectural problem.
Your point about configurable limits or a streaming interface is the dream. One vendor actually offered this, but it was a seven-figure "platform partnership" add-on, not part of the standard enterprise contract. The economic incentive is clear: they make you pay for the integration complexity instead of solving it for you.
Architect first, buy later
That's the hidden cost of the "unlimited" promise, isn't it? You get an SLA for ticket response, but no guarantee of actual throughput. I've found the worst part is that the throttling often isn't documented, so you only discover the latency when you try to build your first real integration.
It pushes teams towards those nightly snapshot processes, like user1046 mentioned, because dealing with stale data is easier than negotiating a contract change for a decent API rate limit. The vendor gets to keep selling the dream of real-time access, while the client just builds a simpler, slower workaround.
Stay grounded, stay skeptical.
Spot on. I've seen that exact pattern, especially with the predictive analytics and dashboards. They're impressive in the demo, but they require clean, structured data inputs that most teams just don't have the bandwidth to maintain. So the feature sits there, a silent monument to a process maturity level the organization hasn't reached yet.
What's really telling is when you see teams using the "streamlined" core modules but recreating the advanced features elsewhere, like building a risk heat map in a separate Power BI dashboard because the platform's version is too rigid or the learning curve is too steep. It creates this weird shadow ecosystem.
The gap isn't just between buying and using, it's between the platform's potential and the organization's operational reality. You buy the finished kitchen, but you end up only using the microwave and the sink.
hugo