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Faster root cause identification helped me resolve incidents more consistently and reduced the amount of manual debugging effort.
I have seen debugging time decrease by around 20 to 30% because I can trace the COBOL programs and also inspect the variables.
Consequently, we adjusted our processes to use Matillion Data Productivity Cloud only for extraction and ingestion, while Snowflake handled all transformations and jobs.
Every time I open a case, I get an immediate response.
BMC AMI DevX's technical support responds very well and takes all cases seriously.
I think the hybrid CI/CD integration with existing enterprise DevOps tools in BMC AMI DevX is very good.
They communicate effectively and respond quickly to all inquiries.
From my perspective, I haven't seen BMC AMI DevX struggle in terms of workloads where it needs to be scaled up or scaled down.
It can support multiple developers for COBOL applications as they debug different problems without changing the overall development process.
It has been scalable for our mainframe development and support needs, handling large COBOL programs and large workloads.
Depending on the nature of data sets, volume, and mixture of different data, the scalability could be improved as manual code writing is still required.
The autoscale process works well, allowing the system to start another node automatically if the first machine reaches 80% capacity.
I would rate BMC AMI DevX as a stable solution that I have been using for years and find working fine.
BMC AMI DevX is very stable for a modern application processing huge workloads.
It has been reliable for COBOL debugging, code analysis, and troubleshooting production incidents.
Being able to step through the COBOL program, set breakpoints, and monitor variable values gives me a much clearer picture of what is happening during execution.
I have to put my cursor on the field and tap it to bring focus there, or use the tab key multiple times to get to a field on the screen.
To improve BMC AMI DevX, consideration should be given to cloud-style provisioning and development models, as well as integration of more AI capabilities.
Connections to BigQuery for extracting information are complex.
The main areas for improvement are AI features and scalability.
Matillion Data Productivity Cloud offers discounts and special deals, especially when dealing with high-volume clients or fewer existing clients in specific regions, like Spain.
The pricing is moderate, neither expensive nor cheap.
The CI/CD offering allows integration of quality checks and unit test processes into the pipeline, which improves compliance and enhances productivity, enabling developers to focus on development while the pipeline automates integration.
BMC AMI DevX's tools have affected my developers' productivity and efficiency by helping with the speed.
BMC AMI DevX positively impacts my organization with its modern VS Code and Eclipse development environment, integrated debugging, AI-assisted code understanding, automated CI/CD pipelines, and end-to-end mainframe DevOps workflow.
The predefined connectors eliminate the need to write code for connectivity.
Matillion Data Productivity Cloud is effective for ingest functions, particularly when moving information to Snowflake and performing many transformations.


| Company Size | Count |
|---|---|
| Small Business | 9 |
| Midsize Enterprise | 1 |
| Large Enterprise | 24 |
| Company Size | Count |
|---|---|
| Small Business | 6 |
| Midsize Enterprise | 9 |
| Large Enterprise | 12 |
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:
Matillion Data Productivity Cloud offers a user-friendly platform for seamless integration and dynamic data handling, favored for simplifying ETL processes with minimal coding and ensuring robust performance in complex data tasks.
Matillion Data Productivity Cloud integrates effortlessly with platforms like AWS, Snowflake, and SQL databases, providing tools for efficient data migration, transformation, and cloud warehousing. It supports large datasets with swift management, making it valued for its graphical interface that eases ETL processes for non-technical users. Automation features ensure scalability and dynamic data handling across diverse sources, while security and cost-effectiveness enhance its appeal. Enhancements in database connectivity, interface design, and multi-environment support would refine user experience, with growing demands for real-time data capture, SAP connectivity, and frequent API updates.
What are the most important features?In industries like finance, healthcare, and retail, Matillion Data Productivity Cloud is implemented for transforming data operations. Companies leverage it for its speed in data processing and integration capability, facilitating rapid adaptation to data-driven insights crucial in these sectors.
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