
What I like best about ServiceNow Workflow Data Fabric is that it unifies access to data across silos in real time using a zero-copy architecture, so you can connect directly to sources like Snowflake or SharePoint without duplicating or moving data. Powered by the high-performance RaptorDB Pro engine, it delivers lightning-fast transactions and analytics, while the semantic knowledge graph adds context so AI agents and workflows act intelligently, not just reactively. This combination reduces integration costs, improves efficiency, and empowers organizations to make smarter, faster, and more resilient data-driven decisions. Review collected by and hosted on G2.com.
One challenge with ServiceNow Workflow Data Fabric is that, while powerful, it can feel complex to implement and manage—especially for organizations new to ServiceNow or without strong data governance in place. The zero-copy architecture, while efficient, still requires careful setup of connectors and permissions, and performance may vary depending on the external systems integrated. Licensing and costs can also be a concern, since advanced capabilities like Workflow Data Fabric are often bundled into higher-tier ServiceNow packages, which may not be affordable for smaller organizations. Finally, because the technology is relatively new and evolving, documentation, best practices, and community expertise are still limited compared to more mature data integration tools. Review collected by and hosted on G2.com.