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Azure AI Foundry vs Hyland OnBase comparison

 

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:
 

Categories and Ranking

Azure AI Foundry
Ranking in Low-Code Development Platforms
10th
Average Rating
8.0
Reviews Sentiment
5.7
Number of Reviews
16
Ranking in other categories
AI Development Platforms (7th), Integration Platform as a Service (iPaaS) (10th), AI-Agent Builders (3rd)
Hyland OnBase
Ranking in Low-Code Development Platforms
12th
Average Rating
7.8
Reviews Sentiment
6.9
Number of Reviews
13
Ranking in other categories
Business Process Management (BPM) (15th), Enterprise Content Management (6th)
 

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.
reviewer1981395 - PeerSpot reviewer
Product owner at a computer software company with 10,001+ employees
Seamless data management enhances security while monolithic architecture and reporting need improvements
I believe the reporting features need improvement, as other competitors in the market provide better analytics. Hyland is working on a new platform (HXP) to integrate features from all products, addressing some concerns. Additionally, there could be more integration points with products Hyland has acquired, such as Alfresco and Nuxeo. Offering a trial version with basic features would allow users to experience the product before purchasing. I find OnBase's monolithic architecture to be expensive, and adopting microservices could be beneficial.

Quotes from Members

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

Pros

"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 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."
"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."
"With Document Intelligence, we just went through Foundry, enabled Document Intelligence, and we were able to get everything done in less than 90 days for the complete end-to-end solution we built on that."
"Azure AI Foundry makes it very straightforward, as I do not have to write thousands of lines of code; I rely on GitHub Copilot and Azure AI Foundry."
"Having Azure AI Foundry as a tool has benefited our organization significantly because our team has five data scientists, and this type of tool makes everything much faster."
"In my evaluation process, I found that Microsoft Azure AI Foundry is much more accessible compared to AWS on model selection and the capabilities of using Document Intelligence versus Textract were much better."
"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 product's initial setup phase is not difficult."
"We found the setup process to be okay since they do offer a troubleshooting guide."
"The solution's most valuable features are integration and flexibility."
"OnBase is a remarkable tool. It is a well-done product. Hyland has a lot of experience in building it and looking for new things for clients in terms of functionalities. It has amazing stability, and it can grow horizontally and vertically. It is built for growth. Their technical support is also quite good and available throughout the year."
"The solution is very developed and we are not taking full advantage of its functionalities."
"I like the cloud and its integrability."
"The retention module is one of the most valuable features. Whatever we scan onto the system can be identified and we are notified when the records are due to be disposed."
"It provided data security features, allowing restrictions on sensitive documents, such as who could view or modify them."
 

Cons

"I would evaluate customer service and technical support as terrible. Whenever I have to reach out to customer support, I end up waiting sometimes days for a response, and our 24-hour response time often turns into three to five days."
"Azure AI Foundry can be improved by adding educational features."
"My biggest critique is some of the fragmentation of their different AI services they have, including AI Open, OpenAI, Azure OpenAI, and Azure Foundry. They feel very disjointed sometimes, so having a unified single experience for all of that would be ideal."
"I find that the online documentation can sometimes be confusing, requiring extensive searching through multiple articles to locate specific information."
"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 would improve Azure AI Foundry by adding more functions within Foundry itself, as right now it is quite basic in what it does."
"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."
"Azure AI Foundry could be improved with better integration within all the other tools from Microsoft."
"Software malfunctioning usually occurs when we receive documents from external sources."
"We need to troubleshoot why our reports didn't get downloaded in a day. There is a workflow feature which powerful but also complicated."
"I find OnBase's monolithic architecture to be expensive, and adopting microservices could be beneficial."
"For user experience, they would have to do more with the interface. It is not easy to work with and is a little messy. It is getting better, but it is not yet good enough. Other products are comparatively doing better in terms of the user interface. I have been hearing about Box, which is very easy to use and learn for the users. OnBase has to work on this aspect. It should have BPM capabilities. We compete with tools that provide the BPM feature and support those standards. They can do better in terms of the pricing model. It is a really expensive tool in Latin America. They should have different prices for different regions."
"The dashboards do have some room for improvement as compared to the other vendors which are there in the market."
"An area for improvement would be the training - getting our people up to speed on how to use it required more training than we expected due to the complexity of the solution."
"We are struggling with duplicates and would like to have OCR functionality when using this solution."
"The solution’s initial setup is a little difficult."
 

Pricing and Cost Advice

Information not available
"There are a number of different types of licenses. There are concurrent licenses, individual licenses and imaging licenses."
"The solution costs around $6,000 per month."
"OnBase is reasonably priced."
"The tool's price is high."
"They can do better in terms of the pricing model. It is a really expensive tool in Latin America. They should have different prices for different regions."
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Top Industries

By visitors reading reviews
No data available
Government
13%
Financial Services Firm
12%
Computer Software Company
9%
Healthcare Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise2
Large Enterprise13
By reviewers
Company SizeCount
Small Business5
Midsize Enterprise3
Large Enterprise8
 

Questions from the Community

What is your experience regarding pricing and costs for Azure AI Foundry?
I would need to ask my technical team about my experience with the pricing, setup costs, and licensing.
What needs improvement with Azure AI Foundry?
The platform's effect on my management of privacy, performance, and compliance across different regions is quite complex because Azure AI Foundry does not make it very clear how to deploy. We set u...
What is your primary use case for Azure AI Foundry?
My main use cases for Azure AI Foundry include deploying AI applications to perform document comparison, translation services, and a chat feature, helping the digital AI team at our company. Curren...
What is your experience regarding pricing and costs for Hyland OnBase?
I find pricing to be on the higher side due to its monolithic architecture. I would rate it six out of ten. Transitioning to microservices, allowing users to pay for only what they use, could reduc...
What needs improvement with Hyland OnBase?
I believe the reporting features need improvement, as other competitors in the market provide better analytics. Hyland is working on a new platform (HXP) to integrate features from all products, ad...
What is your primary use case for Hyland OnBase?
I was a vendor managing Hyland OnBase ( /products/hyland-onbase-reviews ) for Hyland, not as a direct user but as a business partner. We managed the solution and were a partner with Hyland.
 

Also Known As

No data available
OnBase
 

Overview

 

Sample Customers

Information Not Available
Honda France Industries, Hill County Texas, Hylant Group, ING Lease France, State of South Carolina, Syracuse University, Swindon College, Rhode Island Department of Human Services, Rochester Institute of Technology, Moen, Odense University Hospital
Find out what your peers are saying about Azure AI Foundry vs. Hyland OnBase and other solutions. Updated: December 2025.
879,422 professionals have used our research since 2012.