Ultimately, iPaaS was designed to streamline workflows and eliminate the need for repetitive data entry. And it’s very good at those things. But problems arise when people emboldened by its user-friendly, no-code interface start applying iPaaS to use cases far outside what it was intended for. Sure, it might seem to work for a while, but eventually, the tool starts to crack under the strain of doing work it’s not designed to do. When you use it to manage data movement at scale, iPaaS: Starts to break Requires an increasing amount of custom code Has a negative impact on data quality