

Find out what your peers are saying about Perforce, Informatica, Broadcom and others in Test Data Management.
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.
IBM technical support sometimes transfers tickets between different teams due to shift changes, which can be frustrating.
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.
BMC AMI DevX is absolutely scalable.
If someone is in India, another country, or another state in the United States and wants to use it, they have to use it on SysB and all log into that.
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.
The startup of BMC AMI DevX takes a long time to start up before it loads. It takes a good solid two to three minutes before it's ready so that you can work on it.
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.
It would be beneficial if StreamSets addressed any potential memory leak issues to prevent unnecessary upgrades.
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.
They can back out the entire deployment set, which handles everything and brings them back to the previous versions.
It allows a hybrid installation approach, rather than being completely cloud-based or on-premises.
| Product | Mindshare (%) |
|---|---|
| BMC AMI DevX | 12.3% |
| Perforce Delphix | 17.3% |
| Broadcom Test Data Manager | 13.9% |
| Other | 56.5% |
| Product | Mindshare (%) |
|---|---|
| StreamSets | 1.2% |
| Informatica Intelligent Data Management Cloud (IDMC) | 3.7% |
| SSIS | 3.7% |
| Other | 91.4% |

| Company Size | Count |
|---|---|
| Small Business | 6 |
| Midsize Enterprise | 1 |
| Large Enterprise | 18 |
| Company Size | Count |
|---|---|
| Small Business | 9 |
| Midsize Enterprise | 2 |
| 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:
StreamSets streamlines data pipeline creation, connecting data from multiple sources to destinations like cloud platforms with minimal coding. Its centralized platform and intuitive design enhance ETL and data migration processes.
StreamSets integrates seamlessly with analytics platforms, offering tools such as Data Collector and Control Hub to facilitate data ingestion, transformation, and machine learning integrations. Its user-friendly interface and ready connectors aid in configuring complex data pipelines. With built-in data drift resilience and scheduling options, users experience efficient, scalable data management, despite challenges like latency in cloud storage and interface enhancement needs. Users often employ StreamSets for batch loading, real-time data processing, and smart data pipeline management, offering comprehensive data integration solutions.
What are the key features of StreamSets?In industries like finance and technology, StreamSets supports data migration, machine learning integrations, and analytics by simplifying data transformation and enhancing decision-making capabilities through its robust pipeline management.
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