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Azure AI Foundry vs n8n comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 1, 2026

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
6.1
Azure AI Foundry streamlines implementation, boosts efficiency, and delivers ROI, though financial impacts vary, especially for non-profits.
Sentiment score
4.7
n8n boosts ROI by automating tasks cost-effectively, enhancing productivity, and reducing the need for external developers.
Each one we've carefully measured ROI and been able to demonstrate significant ROI with them.
AI Practice Director at a consultancy with 201-500 employees
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.
Assistant VP, Architecture (Engineering & Director at a financial services firm with 5,001-10,000 employees
The playground is where you can deploy the model and test, and guardrails serve as the protection mechanism.
Advisory Specialist Master at a tech vendor with 10,001+ employees
n8n provides a strong return on investment and is very helpful and cost-optimized.
Cloud Engineering and Automation Engineer at a tech vendor with 1,001-5,000 employees
They can save costs because they can reduce the hiring process for external developers for this type of automation that they can do themselves.
ERP recommendation specialist at a non-tech company with 1-10 employees
I believe the return on investment from using n8n is good because employees who previously worked on the specific problems I've automated can now focus on other, more interesting tasks.
AI and Automation Engineer at PeerSpot
 

Customer Service

Sentiment score
5.3
Azure AI Foundry support receives mixed reviews, citing both quick responses for some and delays and challenges for others.
Sentiment score
4.2
n8n support experiences vary; some find it helpful, while others rely on online resources, with community support praised.
I evaluate customer service and technical support positively because we have the enterprise license, which allows us to prioritize serious issues, ensuring that Microsoft support responds quickly.
Manager, Data Science at a outsourcing company with 10,001+ employees
On a scale from one to ten, I would rate customer service and technical support as a nine.
Senior VP, AI, Innovation & Architecture at a computer software company with 501-1,000 employees
I am receiving full support due to our partnership with Microsoft and because we are in the evaluation phase.
Sr Director at a tech vendor with 10,001+ employees
I describe the support team as knowledgeable, helpful, and responsive.
ERP recommendation specialist at a non-tech company with 1-10 employees
I can reach out to members of the community, ask questions, and usually within a week, they're answered.
Solutions Architect at Bear Systems
 

Scalability Issues

Sentiment score
5.5
Azure AI Foundry offers seamless scalability, though GPU availability and organizational readiness can affect expansion and deployment.
Sentiment score
6.6
n8n supports moderate scalability, managing increased workloads with configuration, but technical expertise is needed for optimal large-scale performance.
Azure AI Foundry scales with the growing needs of my organization very well.
Senior VP, AI, Innovation & Architecture at a computer software company with 501-1,000 employees
The platform expands to all of our needs without us really having to do anything, so scalability is definitely there.
Staff Software Developer at a tech vendor with 1,001-5,000 employees
I've had a couple of times where I've had to get to the VP level of Microsoft before I could get the capacity I needed for my customers.
AI Practice Director at a consultancy with 201-500 employees
The standard solution allows for about five workflows at the same time, and it is scalable since I can upgrade my plan for more executions and workflows if needed.
AI and Automation Engineer at PeerSpot
One approach might take a day to go through all of it and another approach might take fifteen minutes to go through all of it.
Solutions Architect at Bear Systems
It is crucial to have a technical team to support you with real experience in n8n and large-scale implementations.
ERP recommendation specialist at a non-tech company with 1-10 employees
 

Stability Issues

Sentiment score
6.9
Azure AI Foundry is stable with high user satisfaction, despite occasional issues due to broader Azure service outages.
Sentiment score
6.8
n8n is stable with minor CPU and connection issues, praised for reliability and low self-hosting costs by experienced users.
I have not experienced any downtime, crashes, or performance issues.
Directeur Des Ventes at Ited
Regarding stability and reliability, I've had zero downtime with Azure AI Foundry, and it helps fix itself.
IT Manager at a manufacturing company with 1,001-5,000 employees
I would assess the stability and reliability of Azure AI Foundry as very good.
Senior VP, AI, Innovation & Architecture at a computer software company with 501-1,000 employees
n8n deployments are some of the cheapest that I've come across; the monthly cost for n8n deployment self-hosted rarely exceeds five dollars.
Solutions Architect at Bear Systems
I have not had any downtime with n8n.
Business automation Expert at INSTRUTECH LIMITED
n8n is stable, though the part that can be less stable is that you must stay connected to many APIs.
AI and Automation Engineer at PeerSpot
 

Room For Improvement

Azure AI Foundry needs improved integration, usability, transparency, governance, and tool support to enhance user experience and adoption.
n8n needs improved user experience, scalability, documentation, integrations, and features for non-technical users and team collaboration.
Providing data on the internal workings of Azure AI Foundry would help customers like us feel more comfortable adopting it.
Assistant VP, Architecture (Engineering & Director at a financial services firm with 5,001-10,000 employees
What did not work well for us regarding Azure AI Foundry includes the security piece, being able to identify how to deploy to multiple regions, reducing latency, and managing tokens per minute.
Azure Cloud Architect at a manufacturing company with 10,001+ employees
With code, you know what the binary result is, but with prompting, it is a lot harder.
Senior Director, Data Orchestration Ai & Helix Practice Advisor at Connection
Documentation is really good.
Automations Engineer at Ad Up
Even though I can connect to different platforms with the HTTP node, it would be easier for people who are not technically advanced to connect with the internal integrations.
Business automation Expert at INSTRUTECH LIMITED
I would appreciate having more AI integrated into n8n, specifically an AI agent to help me better understand how to build workflows and assist when I encounter errors.
AI and Automation Engineer at PeerSpot
 

Setup Cost

Azure AI Foundry pricing varies by user, with mixed views on cost justification and competitiveness, prompting some to seek alternatives.
Enterprise users appreciate n8n's scalable pricing, low infrastructure costs, and free open source version with unlimited runs.
Regarding the pricing, setup cost, and licensing of Azure AI Foundry, I would say it is fair, but I think it gets more expensive.
Assistant VP, Architecture (Engineering & Director at a financial services firm with 5,001-10,000 employees
the pricing, setup costs, and licensing for Azure AI Foundry are very expensive, but still cheaper than hiring an additional position
Manager, Data Science at a outsourcing company with 10,001+ employees
It was difficult to get an understanding of how we could model out our pricing and cost over time without talking to someone.
Senior VP, AI, Innovation & Architecture at a computer software company with 501-1,000 employees
The open source version is free.
Business automation Expert at INSTRUTECH LIMITED
I feel that the price is right as I'm using the standard version, which allows for about one thousand five hundred executions per month, which is sufficient for me and my organization.
AI and Automation Engineer at PeerSpot
For cloud environments, I noticed that depending on the number of nodes used and the number of executions, the basic plan might not be enough.
ERP recommendation specialist at a non-tech company with 1-10 employees
 

Valuable Features

Azure AI Foundry streamlines AI integration with quick testing, centralized hosting, enhanced security, and efficient deployment features.
n8n offers flexible, integrative low-code automation, supports 500+ apps, enhances productivity, and appeals to developers with its open-source nature.
Some examples of how its features have benefited my organization include ease of access, being able to see what's functioning, what's not functioning, why it's not functioning, and when it stopped functioning, and to maintain visibility on day-to-day operations.
IT Manager at a manufacturing company with 1,001-5,000 employees
The feature of being able to pick the right models has been the most beneficial for enhancing our customer service because some AI models are more expensive but slower, while others are faster and cheaper, allowing us to pick the right model for the right task that we are trying to solve.
Manager, Data Science at a outsourcing company with 10,001+ employees
The feature that has been the most beneficial for enhancing customer experience is the one that allows you to compare multiple models to one another and see how they perform against each other.
AI Practice Director at a consultancy with 201-500 employees
My clients know that the information is not leaking or being sold to anybody.
Business automation Expert at INSTRUTECH LIMITED
You can use expressions anywhere. Expressions are basic JavaScript functions or JavaScript code that you can put in any node to pass data dynamically.
Automations Engineer at Ad Up
n8n has positively impacted my organization by making our work faster and automated, eliminating the need to do everything manually.
Cloud Engineering and Automation Engineer at a tech vendor with 1,001-5,000 employees
 

Categories and Ranking

Azure AI Foundry
Ranking in Integration Platform as a Service (iPaaS)
10th
Ranking in AI-Agent Builders
3rd
Average Rating
8.0
Reviews Sentiment
5.7
Number of Reviews
16
Ranking in other categories
AI Development Platforms (7th), Low-Code Development Platforms (10th)
n8n
Ranking in Integration Platform as a Service (iPaaS)
15th
Ranking in AI-Agent Builders
2nd
Average Rating
8.4
Reviews Sentiment
5.6
Number of Reviews
14
Ranking in other categories
Workload Automation (11th), Business Orchestration and Automation Technologies (15th), AI Scheduling & Coordination (3rd)
 

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.
NR
ERP recommendation specialist at a non-tech company with 1-10 employees
Automation has transformed complex workflows and has empowered non‑technical teams to build flows
Regarding improvements for n8n, I would highlight two areas. First, while there is a growing community, the ecosystem of pre-built nodes for niche or proprietary systems still lags behind some commercial competitors. I often have to build custom HTTP request nodes or create my own node packages, which is doable but adds to project timelines. Second, features for team collaboration and lifecycle management are still evolving. Moving workflows from development to staging to production can be a manual export-import process, and native Git integration and more robust user roles for larger client teams would be a game-changer. Regarding needed improvements, I believe much of the existing documentation is not peer-reviewed. There is definitely a big community, but if the documentation or tutorials were approved or at least had a badge from n8n, customers would feel that this meets the standards of n8n editors themselves, which would give more confidence in the flows.
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Top Industries

By visitors reading reviews
Financial Services Firm
21%
Manufacturing Company
15%
Outsourcing Company
13%
Retailer
12%
Comms Service Provider
12%
Manufacturing Company
10%
Financial Services Firm
9%
Computer Software 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 Business12
Midsize Enterprise3
Large Enterprise2
 

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 n8n?
My experience with pricing and setup costs has been good. I feel that the price is right as I'm using the standard version, which allows for about one thousand five hundred executions per month, wh...
What needs improvement with n8n?
I wrote a message to n8n regarding a problem I faced, but I cannot recall what it was. Currently, most products nowadays include walkthrough or guide videos, short videos of 20 to 30 seconds that i...
What is your primary use case for n8n?
I worked on n8n, and Morgan messaged me on LinkedIn to review and provide feedback about the n8n product. I have used n8n for almost six months and built a personal project with it. My main goal wa...
 

Comparisons

 

Also Known As

No data available
n8n.io n8n
 

Overview

Find out what your peers are saying about Azure AI Foundry vs. n8n and other solutions. Updated: December 2025.
881,082 professionals have used our research since 2012.