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Dify vs Make comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Mar 15, 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
5.1
Dify's automation converted manual tasks to efficient operations, saving time and cost, and optimizing team performance significantly.
Sentiment score
6.0
Automation enhances efficiency, cuts labor costs by 50%, boosts ROI, and saves time on reporting, content, and CRM tasks.
If a task would require an hour, it can now be done in seconds.
Software Engineer at Futurescape Technologies
This results in cost saving and time saving, as whenever you save some time, that is equal to cost saving.
AI Consultant at AI Solution.dk
I have seen a return on investment so far, as Dify worked for me, but I do not have a metric to determine how much time it saved.
CTO at Queryhat
I have indeed seen a return on investment as it has saved us hundreds of hours in repetitive tasks, streamlining our follow-up to the leads that we are generating.
Network Engineer at AT&T
I implemented a booking system for my client that previously required data to be entered directly into Google Sheets and reminders to be sent manually; using Make, they have saved about 50% of their time, which equals one labor resource, translating to a significant amount of money saved.
Founder at WebEase
With that extra time each month, I could focus more on sales and upscaling my business, so it is really worth it.
 

Customer Service

Sentiment score
4.8
Dify's customer service earns high praise for quick responses, flexible support options, and strong user satisfaction.
Sentiment score
5.5
Make's responsive customer support and abundant self-help resources efficiently resolve user issues, fostering an active, supportive community.
I have been impressed by the voice agent, the feedback the team requests, and the developments they have implemented so far.
AI AUTOMATION ENGINEER at a consultancy with 51-200 employees
Whenever you have questions, you get an instant answer.
AI Consultant at AI Solution.dk
I already understood how to use user input, the LLM model, and templates without needing guides.
Student at Sector 125
We have escalated a few issues that we faced during some integrations, and we received reasonable responses from Make support.
Chief Executive Officer at Ashtex Solutions
They were doing the best job for my use cases and my problems.
Bubble.Io | Xano | No Code | Mba | Make | Zapier | Full Stack at Indian Railways
When I had a problem during the pricing payment, the customer support handled it very well.
Freelancer at a consultancy with 11-50 employees
 

Scalability Issues

Sentiment score
4.0
Dify is scalable but faces challenges with larger workloads and occasional issues, suggesting cloud scaling for improved performance.
Sentiment score
5.5
Make is scalable and effective for complex workflows, but pricing and workflow setup can challenge some users.
Rather than using a cloud-hosted platform, using a self-hosted platform means there can be scalability issues.
Automation Engineer at a tech services company with 1-10 employees
Dify's scalability is good and it handles growth or increased workloads effectively, depending upon the resources available.
Software Engineer at Futurescape Technologies
I would need to consider cloud scaling, such as vertical and horizontal scaling as the number of users increases.
AI AUTOMATION ENGINEER at a consultancy with 51-200 employees
When you have an error, it is very hard to do error handling and debugging.
Automation Engineer at a tech services company with 501-1,000 employees
It can handle increasing workloads or more complex automations easily, but I need to set up each and every component carefully.
Student at Raisoni Group
Make's scalability is very good, and if the pricing were lower, I could scale a lot more.
Founder at WebEase
 

Stability Issues

Sentiment score
7.9
Dify is praised for its stability, reliability, and scalability, despite AI effectiveness varying with model selection.
Sentiment score
7.3
Make is mostly stable and reliable for users, with occasional minor bugs and issues that don't hinder overall performance.
 

Room For Improvement

Enhancing onboarding, workflow features, UI, and engagement, while optimizing performance, can significantly boost Dify's user experience and attractiveness.
Users seek enhanced developer-friendliness, integrations, documentation, pricing, ease of use, security, stability, support tools, and customization.
For EU customers, adding more documentation about how Dify processes the data when starting to use Dify would be really beneficial for companies in Europe to get started with Dify.
AI Consultant at AI Solution.dk
We currently use OpenAI Agents SDK, which requires you to build everything by code, but the observability is really good.
Automation Engineer at a tech services company with 1-10 employees
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.
Software Engineer at Futurescape Technologies
There should be clarity about whether the data is secure while passing through these automations or integrations created within Make.
Chief Executive Officer at Ashtex Solutions
I would love to have more detailed logs, step-by-step error tracing, and better visualization of failed executions, as I think it would improve the user experience significantly.
software engineer at a non-tech company with 1,001-5,000 employees
The lagging problem needs to be solved.
Gtm Operator, Lead Generator at 404Minds Technologies
 

Setup Cost

Make's pricing is affordable and flexible, with options like Docker solutions, making it cost-effective compared to competitors.
My experience with pricing, setup cost, and licensing is that it was free to use.
Automation Engineer at a tech services company with 1-10 employees
Dify is free to use and has a free license from GitHub under a Dify open-source license based on Apache 2.0.
Software Engineer at Futurescape Technologies
The experience with pricing is that it is quite reasonable.
AI Consultant at AI Solution.dk
Licensing was affordable.
Network Engineer at AT&T
I found a solution that allows me to use Make almost for free, just using the Docker on-premises.
Automation Engineer at a tech services company with 501-1,000 employees
It's cost-effective and it's pocket-friendly.
Bubble.Io | Xano | No Code | Mba | Make | Zapier | Full Stack at Indian Railways
 

Valuable Features

Dify enhances productivity and efficiency with seamless AI integration, user-friendly tools, and GDPR-compliant automation for organizations.
Make's intuitive interface and integrations boost efficiency and productivity, saving time and reducing manual tasks with seamless automation.
Initially, we had about two weeks of time to implement the whole thing, but that was cut down to two days of time through using Dify.
Automation Engineer at a tech services company with 1-10 employees
Dify has positively impacted the organization because accuracy has been improved, and the time and complexity in flows that were manual are now automated.
Software Engineer at Futurescape Technologies
Dify stands out to me because it is compliant with GDPR, and it is 100% compliant with GDPR rules.
AI Consultant at AI Solution.dk
Make has positively impacted my organization by enabling us to solve use cases for hundreds of clients across hundreds of different platforms, providing the customization capabilities to automate accounting and invoicing processes that save dozens of man-hours a month, and allowing us to build custom churn, retention, and engagement costs that have driven a 30% reduction in churn.
Network Engineer at AT&T
Instead of spending several days implementing and testing API integrations inside our FastAPI back end, I was able to build the workflows in a few hours using Make.
software engineer at a non-tech company with 1,001-5,000 employees
The task that I would complete in a span of one day is completed in a matter of minutes by using Make.
Executive at Core Jobs
 

Categories and Ranking

Dify
Ranking in AI Software Development
16th
Average Rating
8.4
Reviews Sentiment
5.1
Number of Reviews
8
Ranking in other categories
Low-Code Development Platforms (17th)
Make
Ranking in AI Software Development
4th
Average Rating
8.0
Reviews Sentiment
5.5
Number of Reviews
18
Ranking in other categories
Process Automation (6th)
 

Mindshare comparison

As of July 2026, in the AI Software Development category, the mindshare of Dify is 0.6%. The mindshare of Make is 0.5%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AI Software Development Mindshare Distribution
ProductMindshare (%)
Make0.5%
Dify0.6%
Other98.9%
AI Software Development
 

Featured Reviews

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.
Dinesh Lavu - PeerSpot reviewer
Bubble.Io | Xano | No Code | Mba | Make | Zapier | Full Stack at Indian Railways
Automation workflows have saved time and have reduced manual work for my client projects
Most of what I learned about Make is mainly from the templates only. Anything that I tried to do, I try to see who has done it already and try to understand and rebuild it. When I'm trying to build some workflows, there's a chatbot component. When I ask for something, it helps me in that. Or if I get a bug that I'm finding difficult to debug or understand the use case or the log, it clearly explains it to me and sometimes it advises me to do certain things, so that it's easy for me to fix it. One area for improvement is an auto-building feature. Another is how n8n has a chatbot completion where you can bring some LLMs into the workflow and integrating Ollama and all of that is something I felt is really needed for Make also.
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Top Industries

By visitors reading reviews
Construction Company
20%
Manufacturing Company
10%
Comms Service Provider
8%
Computer Software Company
8%
Outsourcing Company
15%
Educational Organization
14%
Manufacturing Company
10%
Construction Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business5
Large Enterprise3
By reviewers
Company SizeCount
Small Business14
Midsize Enterprise1
Large Enterprise6
 

Questions from the Community

What is your experience regarding pricing and costs for Dify?
The experience with pricing is that it is quite reasonable, and the setup cost depends on our usage, so I do not have any complaints regarding this.
What needs improvement with Dify?
I choose eight out of ten for Dify because there's always a way to improve it, but I feel that for the advanced features, it's still hard for hands-on use. I have a relatively limited experience wi...
What is your primary use case for Dify?
My main use case for Dify is to build a quick prototype about an interactive AI product to test the prompts and retrieval-augmented generation behavior, and I tested the workflow in that manner. I ...
What is your experience regarding pricing and costs for Make?
Regarding my experience with pricing, setup costs, and licensing for Make, I would add that they need to provide a dark mode because the UI is in light mode. I remember that when I was working late...
What needs improvement with Make?
I think there are improvements needed for Make. They could add a guide roadmap for beginners to make it more accessible. While Make is easy to use, there is always room for improvement. There are m...
What is your primary use case for Make?
My main use case for Make involves automating social media content creation and personalized content creation for my social profile like Instagram.
 

Comparisons

 

Also Known As

No data available
Integromat
 

Overview

 

Sample Customers

Information Not Available
Buan Consulting, Armadia
Find out what your peers are saying about Dify vs. Make and other solutions. Updated: June 2026.
902,894 professionals have used our research since 2012.