Data orchestration platforms offer a more robust foundation for scalable data engineering than traditional iPaaS solutions like integration platforms. These modern platforms address limitations by providing code-first, developer-friendly interfaces that integrate with existing workflows, end-to-end observability, and asset-centric architecture that focuses on data products rather than just connections. They provide advantages such as version control integration, built-in testing capabilities, clear lineage tracking, automatic monitoring and alerting, and can handle complex workflows by providing reusable connectors for legacy systems. Data orchestration platforms are better suited for building scalable, maintainable platforms with developer experience tools that enhance productivity, observability, reusability, and testing capabilities.