BMC AMI DevX vs Stitch 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

Stitch is a cloud-based ETL service designed to synchronize data between a variety of sources and destinations, offering robust and scalable data integration capabilities.

Stitch facilitates seamless data integration, providing users with real-time data movement across their tech stack. Its flexible architecture allows easy connectivity between diverse systems and ensures data consistency. With its user-friendly setup, Stitch empowers data teams to efficiently manage complex data workflows, enhancing decision-making and operational efficiency.

• Data Extraction: Efficiently extracts data from numerous sources, ensuring smooth data flow across platforms.
• Real-Time Data Sync: Offers synchronized data transfer to maintain up-to-date datasets.
• Scalability: Supports growing data needs with scalable architecture.
• Secure Data Transfer: Implements security practices ensuring data integrity during transfers.
• API Access: Provides API connectivity for robust data pipeline customization.

• Improved Decision-Making: Enables timely and informed business decisions with real-time data accessibility.
• Cost Efficiency: Reduces expenses associated with manual data integration processes.
• Increased Productivity: Frees up IT resources by automating data movement, allowing teams to focus on strategic tasks.
• Enhanced Data Accuracy: Minimizes errors through automated and consistent data integration processes.

In industries like e-commerce and finance, Stitch is instrumental in integrating data from sales platforms and financial systems to analytics tools. Retailers can combine online and offline sales data, while financial firms streamline data into centralized repositories, ensuring comprehensive analysis and reporting.