Data Fabric Field Test: SAP vs. DIY

Interest in building a data fabric is very high, and for good reason. By enabling real-time, trustworthy data across multiple clouds, you can expedite the migration of analytics to the cloud, guarantee security and governance, and quickly generate business value. A data fabric provides a semantic layer that enables a map of your metadata, unifying data based on its meaning, rather than just its location, and preserving the business context and logic of that data across the fabric.

In this report, we introduce SAP Datasphere. We compare the task of creating, integrating, distributing, and managing a data fabric with a common DIY set to SAP. Looking across all organization sizes, we found that a DIY data fabric deployment over three years cost 2.4x more than SAP Datasphere. These sharp cost advantages played out across all aspects of adoption—data fabric infrastructure, initial migration/build, CI/CD, and administration.

Contact us for the report.