One of the primary concerns reported by data teams is the platform’s scalability beyond desktop environments. KNIME’s collaborative features are primarily available in paid editions, while the open-source version can lack advanced governance, scheduling, and sharing tools essential for enterprise adoption. Additionally, some users find the interface challenging to use for large workflows or multi-source integrations, and custom feature development may require steep programming knowledge, raising the barrier for non-technical users. Integration with cloud platforms and big data technologies—such as real-time analytics or multi-tenant deployments—can demand considerable manual setup, often pushing organizations to evaluate more agile or cost-effective KNIME alternative for business intelligence and data science.