Solving SAP Test Data Bottlenecks for Better Workflow Testing
Testing SAP workflows demands more than just data. It requires complete, compliant, and interconnected datasets that reflect production-like complexity. DataMaker delivers that instantly
Complete Workflow Simulation
Support end-to-end testing for core SAP processes like O2C, P2P, H2R, R2R, F2F, and more, with data that mirrors real-world logic and dependencies
Realistic, Process-Specific Data
Simulate full SAP data trails, including both master and transactional data, so teams can validate functionality without relying on masked production copies
Generated Natively Within Your SAP System
Create test data directly inside your SAP landscape through native integration, not in disconnected tools or external sandboxes
Always Available, Always Secure
No more delays from TDMS refreshes or compliance risks. DataMaker delivers compliant, on-demand data when you need it
How DataMaker Delivers Intelligent Test Data for Your SAP Ecosystem?
Native SAP Connectivity with Real-Time Access
DataMaker connects directly to SAP S/4HANA and other SAP versions using OData. This ensures real-time interaction with your SAP system and flawless referential integrity. Master data and transactional data stay perfectly linked across modules, enabling accurate, end-to-end process testing and reliable template creation.
On-Demand Test Data Created Inside SAP
Unlike external tools, DataMaker generates synthetic test data directly inside your SAP system. With native integration, it populates SAP tables in real time, maintaining schema alignment and system context. No disconnected sandboxes, no imports, just usable, compliant data right where you need it.
Aligned with SAP Logic for Realistic Testing
DataMaker respects SAP’s internal business logic, data models, and dependencies to create production-like test data that behaves just like real data. By mimicking your system's structure and statistical patterns, it ensures reliable validation for SD, MM, FI, PP, and other business-critical modules.
Template-Driven, AI-Powered Data Creation
Use templates to define your exact test data needs. DataMaker’s AI engine intelligently fills them with accurate, synthetic data tailored to your SAP workflows. Whether it’s thousands of orders or a single complex transaction, you get fast, repeatable, and risk-free data every time.
Gap-Filling for Complete Test Coverage
DataMaker analyzes partial SAP test data via OData and intelligently generates only the missing records to complete full test scenarios. It ensures you always have complete, interconnected datasets for multi-step workflows, eliminating guesswork, patching, or time lost in trial-and-error preparation.
Secure and Compliant by Default
DataMaker generates new, synthetic data from scratch, never copying production records, ensuring built-in compliance with GDPR, HIPAA, and similar regulations. This lets you test at scale in non-production environments with zero privacy risks or legal concerns while maintaining full fidelity to your SAP system logic.
Why is DataMaker Better Than Traditional SAP Test Data Management?
Data Creation Method
Copies and masks complex production data. Time-consuming, resource-heavy, and carries inherent security risks.
Generates synthetic, production-like data on demand, no copying or masking needed. Simpler, faster, and secure.
Agility & Speed
Manual creation is slow and error-prone. TDMS refreshes are batch-based and infrequent, leading to stale data.
Self-service, on-demand test data generation. Get exactly what you need in seconds, perfect for agile and DevOps teams.
Data Completeness
Testers spend hours on trial-and-error to make data fit complex test cases. Often incomplete or broken.
Retrieve & Generate Missing" feature ensures 100% complete, referentially intact datasets, even for complex workflows.
CI/CD & Automation
Manual provisioning creates bottlenecks. Limited automation support in TDMS.
Seamlessly integrates with CI/CD pipelines, ensuring a continuous supply of fresh SAP test data for every build.
Security & Compliance
Even masked production data risks re-identification, creating compliance headaches (GDPR, HIPAA).
Synthetic-first data means zero exposure of real data, maximizing security and simplifying compliance from the start.
Cost & Resource Efficiency
High operational costs due to storage, manual effort, and complex setups.
Lowers storage needs, cuts manual workload, and dramatically reduces cost with smart, just-in-time data generation.
Ready to See How Fast DataMaker Provides Compliant SAP Test Data?
