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BMC AMI DevX vs Tray.ai comparison

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Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

ROI

Sentiment score
5.3
BMC AMI DevX enhances efficiency, reduces errors, accelerates operations, and achieves a 217% ROI within six months.
Sentiment score
5.8
Tray.ai automates tasks, significantly reducing workload and engineering demands, with users showing ongoing value appreciation over 19 months.
Faster root cause identification helped me resolve incidents more consistently and reduced the amount of manual debugging effort.
DevOps Developer at a tech vendor with 10,001+ employees
Fewer employees are needed for the same work that previously required more staff.
System Engineer at a tech vendor with 10,001+ employees
Roughly, we have saved around four to six developer hours per week on debugging and code analysis, which I estimate translates to around a 15 to 20% productivity improvement for the developers using it regularly.
Developer at a consultancy with 1,001-5,000 employees
I have seen a return on investment as the company has been renewing the product for the entire 19 months we have been using it, which indicates that trust is high and they likely see value and advantage in using the system.
Principal AI and Data Science Engineer at a manufacturing company with 10,001+ employees
It has even eliminated a position on our team because that person was no longer needed once we started the automations.
Applications Analyst at a healthcare company with 1,001-5,000 employees
The ROI is clear, as it eliminates hundreds of engineer hours required to build and maintain custom integration connectors, while empowering client partners to manage complex data ingest self-sufficiently.
Dev Ops Engineer at a outsourcing company with 201-500 employees
 

Customer Service

Sentiment score
8.0
BMC AMI DevX customer service is highly rated for responsiveness and effectiveness, though complex issues may need additional assistance.
Sentiment score
4.3
Tray.ai's support is adequate, with ease of use reducing direct contact, complemented by positive feedback on newsletters and updates.
Every time I open a case, I get an immediate response.
Devops Engineer / Ispw Admin at a insurance company with 201-500 employees
BMC AMI DevX's technical support responds very well and takes all cases seriously.
Mainframe Modernization Co E & Transformation Lead at cmc
I think the hybrid CI/CD integration with existing enterprise DevOps tools in BMC AMI DevX is very good.
Product Engineer at Absa Group
I have never used the customer support for Tray.io because the software is very easy to use and we never needed to contact support.
Principal AI and Data Science Engineer at a manufacturing company with 10,001+ employees
 

Scalability Issues

Sentiment score
7.5
BMC AMI DevX efficiently scales for large teams and complex applications, ensuring robust performance and resource management in cloud environments.
Sentiment score
7.3
Tray.io excels in scaling and data management, though complexity arises as operations expand beyond small-scale uses.
Reviews from enterprise users on platforms like PeerSpot confirm that it scales exceptionally well across international teams and handles massive workloads efficiently.
Senior Mainframe Developer at a consultancy with 11-50 employees
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.
Product Engineer at Absa Group
It can support multiple developers for COBOL applications as they debug different problems without changing the overall development process.
DevOps Developer at a tech vendor with 10,001+ employees
We were able to deploy it from a small company within Tata with 200 people to what is now a multinational company with 92,000 people globally.
Principal AI and Data Science Engineer at a manufacturing company with 10,001+ employees
Our company uses it for handling high-volume data ingestion and integration orchestration between our platform and external ad services.
Dev Ops Engineer at a outsourcing company with 201-500 employees
The benefits of it being no-code or low-code started to pale in comparison to the cost of making everything slightly more complicated.
Operations Analyst at a tech vendor with 51-200 employees
 

Stability Issues

Sentiment score
8.8
BMC AMI DevX provides stable and reliable performance, efficiently handling upgrades and workloads, with swift resolution of minor issues.
Sentiment score
7.9
Tray.ai is stable and efficient but requires setup learning; memory can impact workflows if not managed properly.
I would rate BMC AMI DevX as a stable solution that I have been using for years and find working fine.
Mainframe Modernization Co E & Transformation Lead at cmc
BMC AMI DevX is very stable for a modern application processing huge workloads.
Product Engineer at Absa Group
It has been reliable for COBOL debugging, code analysis, and troubleshooting production incidents.
DevOps Developer at a tech vendor with 10,001+ employees
In my experience, Tray.io is stable, as we have never experienced issues with it failing or being unavailable.
Principal AI and Data Science Engineer at a manufacturing company with 10,001+ employees
The biggest issue we have with Tray.io is that it runs out of memory space and does not process all of our workflows.
Applications Analyst at a healthcare company with 1,001-5,000 employees
Tray.io is highly stable for daily scheduled production runs and event-driven webhooks, provided proper error handling, timeout management, and payload validation are built into the workflow steps.
Dev Ops Engineer at a outsourcing company with 201-500 employees
 

Room For Improvement

BMC AMI DevX needs better integration, user interface, documentation, and performance, while addressing cost, setup complexity, and new user challenges.
Tray.ai struggles with user accessibility, documentation, and pricing, limiting usability for non-technical teams and smaller organizations.
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.
DevOps Developer at a tech vendor with 10,001+ employees
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.
Devops Engineer / Ispw Admin at a insurance company with 201-500 employees
To improve BMC AMI DevX, consideration should be given to cloud-style provisioning and development models, as well as integration of more AI capabilities.
Mainframe Modernization Co E & Transformation Lead at cmc
When an automation fails, it usually provides the JSON format, and if Tray.io could include a summary of what the actual error entails, that would be quite beneficial.
IT Engineer at a consumer goods company with 51-200 employees
I believe Tray.io can be improved by offering integration with Tableau, which is still not available.
Principal AI and Data Science Engineer at a manufacturing company with 10,001+ employees
There is a steep learning curve in user accessibility; the builder is highly developer-centric, making it difficult for a non-technical team member to modify or troubleshoot workflows.
Automation Engineer at a educational organization with 11-50 employees
 

Setup Cost

BMC AMI DevX offers competitive pricing and promising ROI, though high licensing complexity and implementation costs can affect transparency.
The financial verdict shows a ROI of over two hundred percent, with the platform paying for itself in under six months, making it a very good investment.
Senior Mainframe Developer at a consultancy with 11-50 employees
the exact numbers regarding pricing, setup cost, and licensing, but it was higher than what it should have been
Senior Consultant at a tech vendor with 10,001+ employees
I would describe the pricing and licensing as reasonable for an enterprise mainframe tool, although the overall cost can be significant depending on the number of users and components licensed.
Developer at a consultancy with 1,001-5,000 employees
No one has complained in the finance department, and it is very rare for Tata Motors to refrain from complaining about pricing.
Principal AI and Data Science Engineer at a manufacturing company with 10,001+ employees
 

Valuable Features

BMC AMI DevX enhances development with autonomous code promotion, AI tools, IDE integration, and robust governance for improved efficiency.
Tray.io offers low-code automation with robust integrations, intuitive design, and advanced features to enhance workflow resilience and efficiency.
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.
Mainframe Modernization Co E & Transformation Lead at cmc
BMC AMI DevX's tools have affected my developers' productivity and efficiency by helping with the speed.
Product Engineer at Absa Group
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.
Software Developer at a educational organization with 51-200 employees
The connector SDK is also very nice; it has a large library of pre-built connectors that can connect a lot of proprietary internal tools directly into Tray.io, allowing the developer to build, test, and deploy custom connectors using Node.js and integrate the data directly into Tray.io.
Automation Engineer at a educational organization with 11-50 employees
The best features Tray.io offers include the visual workflow builder and HTTP client blocks that enable rapid prototyping and deployment of complex API interactions, including raw HTTP requests, data mappers, and dynamic token generation.
Dev Ops Engineer at a outsourcing company with 201-500 employees
The logging and debugging features in Tray.io have helped us considerably, especially when dealing with APIs that return errors sometimes.
Operations Analyst at a tech vendor with 51-200 employees
 

Categories and Ranking

BMC AMI DevX
Average Rating
8.0
Reviews Sentiment
6.5
Number of Reviews
33
Ranking in other categories
Software Configuration Management (1st), Debugging (3rd), Database Development and Management (9th), Mainframe Application Development (1st), Test Data Management (2nd), Mainframe Testing Tools (1st), Data Masking (3rd), AI Software Development (23rd)
Tray.ai
Average Rating
7.2
Reviews Sentiment
5.4
Number of Reviews
7
Ranking in other categories
Process Automation (17th), Cloud Data Integration (18th), Low-Code Development Platforms (20th), Integration Platform as a Service (iPaaS) (14th)
 

Featured Reviews

Mitanshu Shrimali - PeerSpot reviewer
System Engineer at a tech vendor with 10,001+ employees
Modern workflows have accelerated mainframe delivery and simplify understanding legacy code
BMC AMI DevX can be improved primarily by streamlining initial configuration and installation, simplifying advanced documentation, and enhancing UI/UX feature discoverability. While the platform successfully bridges modern IDEs such as VS Code with z/OS, user feedback highlights the need for simplifying setup and onboarding configuration. The initial installation and login process can be simplified. Although it feels complex initially, once completed, there is nothing to do with installation repeatedly since it is a one-time process. However, it is still somewhat complex. Basic tutorials are available that address teams implementing the configuration of multi-vendor tools and integration, but documentation gaps exist that frequently force heavy reliance on vendor support. Additionally, certain components across the workspace and diagnostic tools retain a legacy feel or hide powerful features behind deep menus, so UI/UX features can be simplified. Integrating with non-BMC enterprise testing or new CI/CD orchestrators can require custom engineering rather than native plug-and-play connectors. Optimizing large-scale performance is also important, as heavy resource consumption during deep runtime analysis for large-scale code mapping can impact performance over slower network connections for extremely dense application modules.
Amrit Dash - PeerSpot reviewer
Automation Engineer at a educational organization with 11-50 employees
Automated student enrollments have reduced manual work and now free our team for higher-value support
Tray.io is definitely a highly powerful tool, but there are three main areas that I feel could be improved. There is a steep learning curve in user accessibility; the builder is highly developer-centric, making it difficult for a non-technical team member to modify or troubleshoot workflows. Introducing a more intuitive visual interface similar to what we have in make.com right now would make the platform much more collaborative and easier to work with for any non-technical folks or newly onboarded engineers, allowing them to be briefed faster. Visual debugging is another area where troubleshooting complex nested loops can feel very abstract. Having clearer, more visual step-by-step data tracking during test runs would speed up the development and testing process. The pricing model is geared heavily towards enterprise budgets; offering more flexible mid-market pricing tiers would make it more accessible for a growing organization that wants a small start and scale up gradually. The core platform security is highly robust and easily meets our requirements for SOC 2 and GDPR compliance. However, when utilizing their AI features such as Merlin AI with sensitive student data, we maintain a very cautious approach. While Tray.io provides enterprise-grade governance guardrails and data masking capabilities, our internal compliance policies prevent us from passing any personally identifiable student information directly through AI-driven processors. We trust Tray.io's underlying infrastructure security, but we believe organizations must still enforce strict data filtering protocols on their end to ensure student privacy is maintained. During our evaluation, we tested the AI capabilities in a sandbox environment, primarily using it to generate workflow drafts and natural language prompts from web data schemas. Strength-wise, it is highly capable when it comes to translating simple text descriptions into functional workflow templates. It serves as a great accelerator, helping to map standard files quickly and reducing the initial setup time for basic integrations. For issues, in the case of highly custom APIs or deeply nested data structures, accuracy declines. We noticed occasional misinterpretation of complex schemas, meaning our developers still had to manually review and correct the outputs. It is a highly helpful productivity booster but still requires human oversight for enterprise-grade reliability.
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Top Industries

By visitors reading reviews
Financial Services Firm
25%
Outsourcing Company
8%
Insurance Company
7%
Construction Company
7%
Comms Service Provider
14%
Construction Company
11%
Outsourcing Company
11%
Healthcare Company
10%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business10
Midsize Enterprise3
Large Enterprise31
By reviewers
Company SizeCount
Small Business4
Midsize Enterprise1
Large Enterprise4
 

Questions from the Community

What is your experience regarding pricing and costs for BMC Compuware Topaz Enterprise Data?
My experience with pricing, setup cost, and licensing was pretty seamless.
What needs improvement with BMC AMI DevX?
I don't think there's anything to add in terms of improvements for BMC AMI DevX; it is quite effective and works well with BMC AMI Data, the other platform we use.
What is your primary use case for BMC AMI DevX?
My main use case for BMC AMI DevX is modernizing development in IBM networks, and it helps in combining the old legacy IBM systems we have with the new ones that we perform for DevOps and DevSecOps...
What needs improvement with Tray.io?
Native rate limit and auto-retry handling can be improved, as when hitting 429 errors or too many requests errors during high-volume API loops, Tray.io lacks native configured backoff and retry log...
What is your primary use case for Tray.io?
Tray.io serves as the core iPaaS orchestration and data ingestion engine between our primary system and numerous external platforms such as ad servers like GAM, FreeWheel, Flitepath, Facebook, ERPs...
What advice do you have for others considering Tray.io?
My advice for others looking into using Tray.io is to modularize earlier. I recommend not building massive monolithic workflows, but rather creating single-purpose callable workflows and triggering...
 

Also Known As

File-AID, Data for Db2, Code Debug, Data Studio, Workbench for Eclipse, Code Pipeline
No data available
 

Overview

 

Sample Customers

NRB, Iberdrola, Consorzio Servizi Bancari 
Copper, DigitalOcean, Udemy, AdRoll, FICO, Outreach
Find out what your peers are saying about BMC AMI DevX vs. Tray.ai and other solutions. Updated: November 2026.
921,523 professionals have used our research since 2012.