

Find out what your peers are saying about Perforce, Informatica, Broadcom and others in Test Data Management.
I think the hybrid CI/CD integration with existing enterprise DevOps tools in BMC AMI DevX is very good.
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.
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.
Again, it has to go to the same SysB and signs into the same SysB TSO and the same LPAR.
BMC AMI DevX is absolutely scalable.
BMC AMI DevX is very stable for a modern application processing huge workloads.
I would rate BMC AMI DevX as a stable solution that I have been using for years and find working fine.
To improve BMC AMI DevX, consideration should be given to cloud-style provisioning and development models, as well as integration of more AI capabilities.
The startup problem is the one that definitely needs to be addressed.
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.
BMC AMI DevX's tools have affected my developers' productivity and efficiency by helping with the speed.
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.
With ISPW, developers can back out the entire release or entire package.
| Product | Mindshare (%) |
|---|---|
| BMC AMI DevX | 12.3% |
| Perforce Delphix | 17.3% |
| Broadcom Test Data Manager | 13.9% |
| Other | 56.5% |
| Product | Mindshare (%) |
|---|---|
| WhereScape RED | 1.3% |
| Informatica Intelligent Data Management Cloud (IDMC) | 3.7% |
| SSIS | 3.7% |
| Other | 91.3% |

| Company Size | Count |
|---|---|
| Small Business | 6 |
| Midsize Enterprise | 1 |
| Large Enterprise | 18 |
| Company Size | Count |
|---|---|
| Small Business | 6 |
| Midsize Enterprise | 4 |
| Large Enterprise | 11 |
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:
WhereScape RED streamlines data warehousing processes through automation, empowering organizations with agile code generation and easy management of data integration and documentation.
WhereScape RED provides automated documentation, agile code generation, and a metadata-driven framework, making it ideal for enterprise data warehousing. It integrates well with methodologies like Data Vault and Kimball, offering data lineage, impact analysis, and ELT capabilities. With diverse data environment support such as Teradata, Oracle, and SQL Server, it simplifies staging, transforming, and loading processes. Though some users suggest improvements in performance and multi-database support, RED stands out with its automation that enhances code readability and reduces manual tasks.
What are the most valuable features of WhereScape RED?WhereScape RED is often implemented in industries needing robust data integration solutions. It is utilized for business reporting within sectors relying on SQL Server for their ETL processes. Its drag-and-drop functionality and support for heterogeneous data sources make it a versatile tool for managing complex data environments.
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