

VMware Tanzu Data Solutions and BMC AMI DevX both compete in the data management category, with VMware Tanzu seeming to have the upper hand due to its scalable processing capabilities.
Features: VMware Tanzu Data Solutions offers scalable parallel processing through its MPP architecture, robust integration with multiple programming languages, and supports hybrid cloud environments. BMC AMI DevX focuses on extensive mainframe application development, provides comprehensive code management tools, and supports modern development for legacy systems.
Room for Improvement: VMware Tanzu Data Solutions needs to enhance cloud-native capabilities, improve integration with modern data visualization tools, and optimize ease of use for large datasets. BMC AMI DevX could improve user experiences in testing and debugging, better integrate REXX macros, and streamline its developer interface.
Ease of Deployment and Customer Service: VMware Tanzu Data Solutions supports flexible deployments and offers extensive resources and support, making it ideal for hybrid and public cloud usage. BMC AMI DevX, while strong in direct support, lacks versatility in deployment options as it primarily focuses on on-premises environments.
Pricing and ROI: VMware Tanzu Data Solutions offers competitive pricing with an open-source model complemented by optional paid support, delivering strong value. BMC AMI DevX can be more costly due to concurrent user licensing but still provides a robust return on investment with its specialized mainframe capabilities.
I have seen a return on investment with VMware Tanzu Data Solutions because of its speed and the robustness of the environment.
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.
If anything happens in terms of technicalities and I raise a ticket, they address it immediately, irrespective of the SLA agreement.
I am going to give them a ten out of ten.
Customer support for VMware Tanzu Data Solutions has been good with me and with VMware, including Broadcasts.
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 Code Pipeline runs on one LPAR, and no matter where someone is in the world, they have to use it on that LPAR.
BMC AMI DevX is absolutely scalable.
Most of our functions or jobs are queued due to that.
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.
I have faced stability issues, mainly due to the storage my organization has, though I am not sure if it's specifically due to the tool.
Broadcom and VMware are doing a great job. They are fast in response.
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.
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.
Simplifying the initial setup and day-to-day operations could reduce the learning curve for new users.
They are losing business.
I think they must ensure compatibility with many cloud technologies, including those from the US and China, to make it more versatile in the future.
My experience with pricing, setup cost, and licensing for VMware Tanzu Data Solutions is that it is a bit expensive.
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 principal aspect is the creation of Kubernetes clusters.
Kubernetes native application databases that are managed together allow scaling of application, database, storage, and networking to be automated.
The self-healing feature of VMware Tanzu Data Solutions has helped my team by recreating new instances automatically when particular instances are in a failure state, thereby maintaining the complete environment and reducing downtime.
| Product | Mindshare (%) |
|---|---|
| VMware Tanzu Data Solutions | 2.8% |
| BMC AMI DevX | 1.7% |
| Other | 95.5% |


| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 1 |
| Large Enterprise | 19 |
| Company Size | Count |
|---|---|
| Small Business | 32 |
| Midsize Enterprise | 11 |
| Large Enterprise | 52 |
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:
VMware Tanzu is a robust platform tailored for data warehousing, complex analytics, BI applications, and predictive analytics. It excels in scalability, performance, and parallel processing, enhancing data handling efficiency. Users report significant productivity improvements and streamlined operations, making it ideal for comprehensive data solutions.
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