No more typing reviews! Try our Samantha, our new voice AI agent.

Azure AI Foundry vs Dify 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 (6th), Integration Platform as a Service (iPaaS) (12th), AI-Agent Builders (3rd)
Dify
Ranking in Low-Code Development Platforms
24th
Average Rating
8.4
Reviews Sentiment
5.8
Number of Reviews
5
Ranking in other categories
AI Software Development (83rd)
 

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.
Rusira Sathnindu - PeerSpot reviewer
Automation Engineer at a tech services company with 1-10 employees
Visual workflows have accelerated our agent POC while better UI and observability still need work
My personal experience with Dify's UI is that it is not my favorite, as it can be improved a little bit, and sometimes the UI feels a little bit buggy. I am not sure if that is because it was a self-hosted version. The documentation can also be improved a little bit more. I think not a lot of people are using Dify currently, so that is why the documentation is not very great. If the documentation was improved, that would also be a really good thing. Currently, Dify could improve by offering better observability like other platforms. We currently use OpenAI Agents SDK, which requires you to build everything by code, but the observability is really good. It has OpenAI Traces, and you can basically trace everything for a conversation. If Dify had that kind of tracing functionality, that would be great.

Quotes from Members

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

Pros

"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."
"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."
"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."
"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."
"The biggest return on investment for me when using Azure AI Foundry is the savings in cost for implementing our own observability, visibility, evaluation, and building our own infrastructure to do proof of concepts."
"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."
"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."
"Considering the pricing, I would rate Dify a seven on a scale from one to ten, but for usability, use case, and feasibility, I would give it a ten, as it surpasses both Zapier and N8N."
"Using Dify has positively impacted our organization because we were able to cut down on some development time and do a lot of testing in a very small time period."
"Dify has positively impacted the organization because accuracy has been improved, and the time and complexity in flows that were manual are now automated, from HR automation to ERP level transactions, including subscription management in the SaaS application, monitoring, and analytics."
"Since I have used Dify personally, I have noticed ways it has made my workflow and research easier, saving me time and helping me find answers more quickly."
"Using Dify has positively impacted our organization because we were able to cut down on some development time and do a lot of testing in a very small time period."
"With the AI-powered data analysis we built, we achieve cost savings since we do not need to hire a person specialized in data analysis."
 

Cons

"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."
"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."
"Azure AI Foundry can be improved by adding educational features."
"My experience with Azure AI Foundry's pricing, setup cost, and licensing was a mess."
"For Azure AI Foundry, there is no actual clear pricing structure, which can be confusing for customers to understand, as every feature that you activate has its own price, and it is not very clear sometimes to define the pricing."
"One of the main concerns that we had is that it might not be very scalable because we are hosting it in a self-hosted environment, and we have to configure the architecture and everything."
"Dify does not appear to handle larger workloads well regarding its scalability."
"The only improvement would be if Dify provided an SMTP server that could be connected to automate Dify workflow management, as that would be a great option."
"One of the main concerns that we had is that it might not be very scalable because we are hosting it in a self-hosted environment, and we have to configure the architecture and everything."
"Dify can be improved by adding features such as an end loop or exit loop capability, similar to options available in N8N and Zapier, to make workflow completion easier without needing to select additional outputs and understand complex steps, which can be time-consuming."
report
Use our free recommendation engine to learn which Low-Code Development Platforms solutions are best for your needs.
892,287 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Manufacturing Company
13%
Outsourcing Company
12%
Financial Services Firm
12%
Construction Company
9%
Construction Company
24%
Computer Software Company
10%
Comms Service Provider
8%
Financial Services Firm
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise2
Large Enterprise13
No data available
 

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 Dify?
My experience with pricing, setup cost, and licensing is that it was free to use. We were able to get the free license from the GitHub release and then deploy it in our organization.
What needs improvement with Dify?
My personal experience with Dify's UI is that it is not my favorite, as it can be improved a little bit, and sometimes the UI feels a little bit buggy. I am not sure if that is because it was a sel...
What is your primary use case for Dify?
We used Dify to create and test an agentic workflow and an AI agent model with some of the tools and RAG models. We used it to test how it works and how to implement it for part of our core product...
 

Comparisons

 

Overview

Find out what your peers are saying about Azure AI Foundry vs. Dify and other solutions. Updated: April 2026.
892,287 professionals have used our research since 2012.