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Microsoft Foundry vs OpenText Trading Grid comparison

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Executive SummaryUpdated on Jul 23, 2026

Review summaries and opinions

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

Categories and Ranking

Microsoft Foundry
Ranking in Integration Platform as a Service (iPaaS)
9th
Average Rating
7.8
Reviews Sentiment
5.5
Number of Reviews
24
Ranking in other categories
AI Development Platforms (5th), Low-Code Development Platforms (10th), AI Agent Builders (3rd)
OpenText Trading Grid
Ranking in Integration Platform as a Service (iPaaS)
25th
Average Rating
8.0
Reviews Sentiment
6.7
Number of Reviews
1
Ranking in other categories
Business-to-Business Middleware (12th), Cloud Data Integration (39th)
 

Featured Reviews

Sudhakar Pyndi - PeerSpot reviewer
Data, Analytics & Ai Senior Director, Enterprise Architecture at a comms service provider with 10,001+ employees
Document processing has accelerated contract reviews and enabled rapid development of AI-driven supply chain solutions
With regard to security, compliance, or governance features in Azure AI Foundry, this is something that we have started looking into, primarily using Microsoft Purview for our governance, data governance. There is this new module called DSPM for AI, and we are exploring it while trying to operationalize it with different policies and so forth, but we're still not where we want to be on the governance, AI governance side. It's a process and a path, and we are trying to work through that right now. Azure AI Foundry can be improved from the governance perspective, as a lot can be done. The promising part is the recent announcement on the Foundry control plane. A couple of days back, there was an announcement regarding it bringing in some of the gaps that were on the platform, so it's a really positive direction in terms of where it's going. More governance is what is lacking, but the control plane will really play a big role there.
VARUNKUMAR - PeerSpot reviewer
Mgr Value Chain Integration/EDI at a non-tech company with 10,001+ employees
Industry-leading, easy to implement, and has good mapping specification guidelines
The good thing about OpenText is that we have the mapping specification guideline available, which is not there in a solution like SEEBURGER. Whenever you want to take a decision to move away from OpenText, you have already documented your mapping and what your mapping looks like. So you go to the next provider, provide them with that mapping specification, and it'll be very easy for them to develop a new map instead of just taking the data - input data, output data - and then looking for how the data is getting transformed. So you have the mapping spec level which is a very good feature of OpenText, which we do not have in SEEBURGER. It's very hard to move from SEEBURGER. The solution is easy to implement. It's stable and reliable. They are the industry leaders in the integration space.

Quotes from Members

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

Pros

"The features of Azure AI Foundry that I appreciate the most include the model catalog and the capability to deploy all of these different models, especially now that they've added Anthropic, which was the big one that was missing."
"The feature of Azure AI Foundry that I prefer most is the guardrails, as it is much easier than the one that Bedrock in AWS provides."
"What I appreciate most about Azure AI Foundry is that for a single agent flow, the platform provides the ability to build agents quickly, which demonstrates the ease of use for a single agent workflow."
"Azure AI Foundry has helped reduce the time taken for AI app and agent development cycles by approximately 50% for one use case."
"These features have benefited our organization by allowing us to release new products and new offerings this year, accelerate our growth, and quickly drive our AI agents into customers' hands."
"In general, I think being able to set up something like this with Microsoft Foundry is quite neat."
"Azure AI Foundry has affected our management of privacy, performance, and compliance primarily based on our location in the UK, where it is more focused on the region in terms of where that data is being processed and who has access to it, which is hopefully no one other than us."
"The most beneficial feature for enhancing our customer experience is that it is easy to use for them and for us to implement."
"The good thing about OpenText is that we have the mapping specification guideline available, which is not there in a solution like SEEBURGER."
"The solution is easy to implement."
 

Cons

"My experience with deploying Azure AI Foundry is that, at this point in time, given the limited capabilities available in Foundry, we built pro-code agents, hosted them, containerized them, and deployed them."
"I gave it a seven because whenever I needed to build a multi-agent system, the prompt flow that would control the chain of command between the agents had to be built inside the AI Hub."
"I would appreciate it if Microsoft could improve Azure AI Foundry by releasing new features immediately because sometimes we have to wait for weeks or months to use them."
"The enterprise setup and capacity frustrations are areas where Microsoft Foundry can be improved."
"I would improve Azure AI Foundry by adding more functions within Foundry itself, as right now it is quite basic in what it does."
"Azure AI Foundry can be improved from the governance perspective, as a lot can be done."
"One of the big things Azure AI Foundry could improve is continuously evolving the governance elements and how, while I know they exist, the more control we can have over different elements and observation of what different agents are doing, the better."
"I was not able to complete my original goal to set up a running endpoint that I could use with my application."
"Technical support isn't the greatest. The transparency is less than you sometimes need."
"Technical support needs to be better."
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Top Industries

By visitors reading reviews
Outsourcing Company
14%
Financial Services Firm
11%
Construction Company
10%
Manufacturing Company
9%
Manufacturing Company
13%
Outsourcing Company
12%
Construction Company
11%
Comms Service Provider
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business5
Midsize Enterprise4
Large Enterprise16
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for Azure AI Foundry?
I am overall satisfied with the licensing cost; that is fine.
What needs improvement with Azure AI Foundry?
The enterprise setup and capacity frustrations are areas where Microsoft Foundry can be improved. There are quota bottlenecks where enterprise developers frequently run into the regional model quot...
What is your primary use case for Azure AI Foundry?
I have been using Microsoft Foundry for the last one year. The main use case for my Microsoft Foundry experience is building custom AI agents and copilots. This was for an automated government serv...
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Also Known As

No data available
Trading Grid, GXS Trading Grid
 

Overview

 

Sample Customers

Information Not Available
Autoliv, Hella, Hutchinson, Michelin
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