SAP Build Apps
LeaderWe bring out the best in every business.
Est 1972|Valuation $260.3B|Raised $495.9M
We bring out the best in every business.
Published Oct 15, 2026
SAP Build Apps is generally more relevant for organisations where SAP is the primary system of record and SAP BTP integration is a priority. Power Apps offers visible published pricing and deep Microsoft ecosystem integration, while Mendix and OutSystems are positioned for enterprise-scale low-code use cases with different ALM and governance feature sets.
Industry reviews and market reports place SAP Build in competitive segments for low-code/no-code platforms. Analyst and review reports indicate a mixture of positive ratings and areas of user-reported dissatisfaction; review volume and validation thresholds should be considered when interpreting ratings.
| Starting Price | Pricing includes capacity-based elements and references to additional capacity units; enterprise packaging is often negotiated | Published per-user entry pricing and a developer plan are available from the vendor | Published entry-level monthly pricing is available; higher tiers and enterprise pricing vary |
| Best For | SAP-centric extensions, lightweight UIs over SAP APIs, governed citizen development within SAP landscapes | Microsoft 365 / Azure organisations; internal apps that leverage Dataverse and Microsoft connectors | Enterprises seeking a mature low-code platform with comprehensive ALM and governance support |
| Key Strength | Alignment with SAP ecosystem (BTP, OData/destinations), governance controls, cross-platform apps | Integration with Microsoft ecosystem and broad connector catalog; visible published entry pricing | Mature enterprise low-code platform with broader developer workflow capabilities and multi-cloud deployment options |
| Key Weakness | Additional effort for non-SAP integration; limitations for highly customised UIs; visual canvas differs from Git-based workflows | Licensing complexity and add-on costs can be a source of user dissatisfaction | Can be expensive at scale; learning curve and deployment model considerations |
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