Synthesized vs YData comparison

PRODUCTION-FAITHFUL TEST DATA FOR EVERY TEST, MIGRATION AND AGENT.

The Synthesized platform unifies test data generation and lifecycle operations across SAP and non-SAP systems. It helps teams prepare production-faithful data for continuous testing, without the burden of manual data preparation.

Synthesized is an official SAP technology partner and Synthesized platform is listed on the SAP store: sap.com/products/erp/partners/synthesized-ltd-synthesized-intelligent-tdm.html

WHAT IS SYNTHESIZED?

The Synthesized platform is an AI-native test data management platform for SAP, enterprise applications and AI-driven testing. It is the only end-to-end TDM platform that unifies SAP and non-SAP test data generation and core test data operations in one enterprise-wide solution.

Teams can mask sensitive data, create consistent subsets and generate the records production does not contain. Data stays connected across applications, supporting reliable testing of complete business processes rather than isolated tables.

The platform combines generation, copying, time slicing, masking, subsetting and provisioning. Scheduled and automated refreshes deliver data into CI/CD pipelines, test automation and agent evaluations.

UNIFIED TDM: SAP & NON-SAP COMPLIANT DATA

Non-native SAP TDM struggles with complex modules, expensive full-copy refreshes, and stalled automation. Synthesized is built differently.

AI-native, not retrofitted: Built for AI-ready enterprises and Agentic QA. ML-driven test data generation and AI-powered schema discovery are core to the platform, not add-ons.

SAP-native intelligence: Purpose-built SAP HANA / S/4HANA integration understands module boundaries, virtual foreign keys, and business logic, where generic TDM tools break.

One platform for SAP + non-SAP: Uniquely unifies SAP and non-SAP TDM in a single control plane, so end-to-end flows across S/4HANA, Ariba, and Salesforce stay consistent.

Governed & compliant by default: Policy-driven privacy controls aligned to GDPR and SOX remove PII while retaining realism across every non-production environment.

No vendor lock-in: Private cloud, on-prem, or hybrid deployment with a minimal footprint adapts to your enterprise architecture, not the other way round.

CAPABILITIES

• SAP-native integration: Direct SAP HANA / S/4HANA connectivity with module-aware scoping and virtual foreign-key mapping that understands master & transactional data and SAP business logic.
• Test data generation: ML-driven test data that mirrors SAP distributions while removing PII, preserving business logic and edge cases at any scale.
• Lifecycle automation: Copy, time-slice, subset, mask, generate, and provision: every operation from one SAP-native TDM platform.
• Cross-system coverage: Consistent datasets across SAP and non-SAP apps for Order-to-Cash, Procure-to-Pay, Record-to-Report, and more.
• Schema intelligence: AI-powered discovery of SAP module relationships and dependencies, cutting initial setup from weeks to hours.
• DevOps & CI/CD: API, CLI, YAML & business-UI workflows and data-as-code embed test data into CI/CD, GitOps, and environment refreshes.
• Deployment options: Private cloud, on-prem, or hybrid deployments with a minimal footprint and no vendor lock-in.

EASY FLEXIBLE USE

Sythesized is easy to use, with rapid time to value for technical and non-technical users.

1. Easier adoption and faster value: Guided, low-code workflows simplify test data preparation. Teams can get started faster and make repeatable refreshes part of everyday testing.

2. Fewer specialist prerequisites: Teams can prepare test data without first becoming programming or database experts. This reduces reliance on specialist skills for routine tasks.

3. SAP complexity handled for you: AI-powered relationship discovery reduces manual mapping across SAP modules and connected systems. Business-process-level generation preserves the relationships and business logic needed for scenarios such as Order-to-Cash and Procure-to-Pay.

4. Broader SAP ecosystem coverage: Expanded API-level support extends test data workflows across the SAP ecosystem. Teams can coordinate SAP and connected non-SAP test data through one platform.

5. SAP Clean Core alignment: The API-level approach supports a Clean Core-aligned test data strategy. Teams can modernise test data operations while keeping SAP core integrity central to their architecture.

Synthesized runs inside your own environment, keeping production data within your boundary. It supports continuous SAP testing, S/4HANA migration validation and cross-system testing, with availability on SAP Store.

For organisations moving towards the autonomous enterprise, the proposition is practical: make trusted test data easier to access, automate and govern. Give every team a stronger foundation for testing change.

YData provides a robust platform for data practitioners seeking scalable synthetic data solutions. It is designed to improve data quality through advanced techniques, supporting seamless integration and ensuring secure data handling across diverse applications.

YData is a prominent data-centric platform offering synthetic data generation to address data scarcity and quality challenges. It combines cutting-edge tools that enable users to create high-quality datasets, crucial for training AI models and implementing machine learning workflows. YData facilitates data access while maintaining privacy, making it a staple for organizations aiming to optimize data utility without compromising security.

• Synthetic Data Generation: Allows creation of artificial datasets, enhancing data diversity.
• Privacy Assurance: Ensures data privacy compliance through secure handling.
• Data Augmentation: Enhances existing datasets to improve model training accuracy.
• Integration Capabilities: Simplifies integration with existing data pipelines.

• Improved Model Accuracy: Enhanced datasets lead to better-performing AI models.
• Cost Efficiency: Reduces the need for expensive data collection efforts.
• Scalability: Supports growing data needs without additional resource strains.
• Time Efficiency: Accelerates data preparation and testing phases.

YData finds application in many industries such as finance, healthcare, and retail. In finance, it enables institutions to create datasets for risk modeling, while in healthcare, YData supports the safe handling of sensitive patient information for research. Retailers leverage YData for customer insights without breaching privacy. Solutions implementation varies by industry focus and compliance demands but consistently emphasizes data quality and security.