BMC AMI DevX vs Broadcom Test Data Manager comparison

BMC AMI DevX is a mainframe DevOps platform for IBM Z environments that helps development and platform engineering teams increase release velocity, reduce change risk, and build a sustainable mainframe developer workforce.

Whether the priority is attracting the next generation of mainframe talent, safely evolving decades of business-critical code, accelerating release velocity, or demonstrating development ROI to leadership — BMC AMI DevX is designed to address all on a single platform. Teams can connect existing tools and adopt capabilities incrementally using an open-borders integration approach.

A 2025 Forrester Total Economic Impact study found that customers using BMC AMI DevX onboarded developers 50% faster, completed code changes 33% faster, increased release frequency by 50%, and reduced change failure rate by 33%.

Key capabilities:

• Modern IDE integration (VS Code, Eclipse) with a unified development environment that reduces context switching
• AI-powered code analysis including dependency mapping, impact analysis, and runtime execution path visualization
• Automated unit, functional, integration, and performance testing with code coverage analysis
• Git-compatible CI/CD integration with event-driven webhooks and an open plug-in library
• DORA metrics and DevOps KPI tracking with AI/ML anomaly detection across the mainframe SDLC

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.