Operational leaders at growing companies are struggling with large-scale data integration due to using iPaaS tools that weren't designed for such tasks. These tools, like Zapier and Workato, have a low entry barrier but can quickly become unwieldy as the number of integrations increases, leading to messy data and a lack of visibility. As workflows grow more complex, users need detailed knowledge of how APIs work, defeating the purpose of a "no-code" tool. iPaaS tools also lack scalability for large-volume batch updates, such as product usage data, which can become very expensive quickly. Furthermore, they complicate data governance and quality by allowing easy integration of sensitive data with low-security data, leading to potential security risks. In contrast, Reverse ETL provides a single source of truth by delivering customer data from a data warehouse right to the tools used by frontline business teams, enabling high-quality data models and self-serve data syncing. Ultimately, companies should consider using both iPaaS and Reverse ETL depending on their specific needs, with Reverse ETL being more suitable for larger organizations that require visible pipelines inside and out of a single source of truth.