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Claude for Enterprise vs Dify comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Apr 26, 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

Claude for Enterprise
Ranking in AI Software Development
15th
Average Rating
7.8
Reviews Sentiment
3.8
Number of Reviews
5
Ranking in other categories
AI-Powered Chatbots (4th), AI Writing Tools (4th), AI Code Assistants (7th), Large Language Models (LLMs) (6th), AI Proofreading Tools (5th), AI Content Creation (7th), AI Research (4th)
Dify
Ranking in AI Software Development
83rd
Average Rating
8.4
Reviews Sentiment
5.8
Number of Reviews
5
Ranking in other categories
Low-Code Development Platforms (24th)
 

Mindshare comparison

As of April 2026, in the AI Software Development category, the mindshare of Claude for Enterprise is 2.0%, down from 13.2% compared to the previous year. The mindshare of Dify is 0.4%. It is calculated based on PeerSpot user engagement data.
AI Software Development Mindshare Distribution
ProductMindshare (%)
Claude for Enterprise2.0%
Dify0.4%
Other97.6%
AI Software Development
 

Featured Reviews

CM
Lead- Tech and AI Automation at SSI Group / CleanFoldz
Automation workflows have transformed daily deliveries and now save weeks of development time
The biggest frustration for me regarding Claude for Enterprise is the pricing and credit consumption. Even for small changes, it consumes more credits than any other competitive platform. If there are more credits, the cost increases. I believe that is definitely a factor. Claude for Enterprise has done an exceptional job in delivering all the right things except for the pricing, because it comes with a good amount of cost. If it could ensure that small changes consume fewer credits, that would be helpful. My final thoughts on Claude for Enterprise are that with the growing use of automations, if Claude for Enterprise could come up with a no-code solution—currently it uses credits to code things—but if it could be a drag-and-drop type of solution, as other competitors such as Make.com or n8n offer, I believe that would be a huge advancement. Currently it is usable for even non-technical people, as they just have to use it with prompts, but if it were structured with a drag-and-drop method to create automation, it would be even more cost-effective and faster than coding it and finding the debugging parts.
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

"Claude for Enterprise has positively impacted my organization and my workflow because it has made our shipping very fast, so we are shipping at light speed right now, our products are launching within a week, and our features are being shipped in a day or sometimes even less."
"Claude saves me significant time when conducting research or writing quick Python scripts."
"Claude has positively impacted my organization, as evident from the metrics which show productivity doubling and turnaround time being cut in half."
"Overall, I rate Claude nine out of ten."
"One of the best features Claude for Enterprise offers is that there is no competitor for Claude in creating workflows at a very fast level."
"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."
"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."
"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."
"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."
 

Cons

"Claude for Enterprise could be better because I think it is quite expensive and even after spending $200, there are token limitations that might come up sometimes."
"The biggest frustration for me regarding Claude for Enterprise is the pricing and credit consumption."
"The product could be improved by offering automatic integration with other solutions, such as the ability to read Excel or text files and automate processes this way."
"The foundational model would have to be improved to be comparable to ChatGPT for everyday use cases."
"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."
"Dify does not appear to handle larger workloads well regarding its scalability."
"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."
"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."
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Top Industries

By visitors reading reviews
Construction Company
10%
Financial Services Firm
9%
Comms Service Provider
9%
Manufacturing Company
8%
Construction Company
25%
Computer Software Company
10%
Comms Service Provider
8%
Financial Services Firm
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for Claude?
For an individual user, it is very easy and straightforward. I cannot speak to larger teams.
What needs improvement with Claude?
The foundational model would have to be improved to be comparable to ChatGPT for everyday use cases. The system should be better at understanding when to reply directly with the foundational model ...
What is your primary use case for Claude?
I primarily use Claude for developing quick Python scripts, conducting research, and getting answers to complex questions. Claude saves me significant time when conducting research or writing quick...
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

 

Also Known As

Anthropic Claude 3 Haiku, Anthropic Claude Haiku 4.5
No data available
 

Overview

Find out what your peers are saying about Claude for Enterprise vs. Dify and other solutions. Updated: April 2026.
890,124 professionals have used our research since 2012.