Broadcom Test Data Manager vs Synthesized comparison

Broadcom Test Data Manager enables effective test data processes with tools for synthetic data generation, data masking, and data subsetting. It enhances automation and ensures data privacy and compliance, catering to diverse testing environments.

Broadcom Test Data Manager provides centralized data management with flexible functionalities like cubing and test matching, simplifying the creation and handling of test data. It supports both relational and non-relational data, optimizing test processes for effective results. Users find its intuitive UI and self-service portal time-saving. However, enhancements in programmatic capabilities, non-relational data handling, automation, and integration speed are needed. A unified web-based interface, better API usability, and expanded data source support could improve user experience. Mainframe functionality, data reservation, and web-based UI transitions also require focus for stability and scalability improvements.

• Synthetic Data Generation: Create realistic test data without affecting actual records.
• Data Masking: Protect sensitive data through advanced masking techniques.
• Data Subsetting: Efficiently manage data volumes by extracting relevant data portions.
• Centralized Management: Simplifies data operations through a single management point.
• Flexible Functionalities: Offers cubing concepts and test matching for precise data targeting.
• Comprehensive Data Support: Handles both relational and non-relational data seamlessly.

• Enhanced Automation: Streamlines test data processes, reducing manual effort and errors.
• Time Savings: Intuitive interfaces and self-service portals increase efficiency.
• Compliance Assurance: Adheres to data privacy norms, safeguarding sensitive information.
• Reduced Disk Usage: Efficient data subsetting decreases storage requirements.
• DevOps Integration: Seamlessly integrates with pipelines, accelerating testing phases.

Broadcom Test Data Manager is widely used in industries like healthcare and finance for data masking and test management. It aids in creating synthetic data, managing subsetting, and anonymizing information, particularly valuable in handling regulated data. Its alignment with DevOps and comprehensive data capabilities are key in supporting secure, efficient testing workflows.

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.