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Dify vs Glean Platform comparison

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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

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 (18th)
Glean Platform
Ranking in AI Software Development
8th
Average Rating
8.6
Number of Reviews
12
Ranking in other categories
Indexing and Search (2nd), Search as a Service (4th), AI Agent Builders (4th), AI Customer Support (5th)
 

Mindshare comparison

As of September 2026, in the AI Software Development category, the mindshare of Dify is 0.5%, up from 0.1% compared to the previous year. The mindshare of Glean Platform is 0.4%. It is calculated based on PeerSpot user engagement data.
AI Software Development Mindshare Distribution
ProductMindshare (%)
Glean Platform0.4%
Dify0.5%
Other99.1%
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.
Ananya Bl - PeerSpot reviewer
Data Analyst at Capgemini
Daily orchestration of complex ai workflows has boosted my research and automation capabilities
Orchestration primarily decides which agent handles which part of a task and manages errors, retries, and complete state while maintaining the workflow effectively. On the orchestration side, branching, looping, and human approvals support non-linear workflows in production environments with real-time access. Through refined and improved prompts, this helps in closing the loop with actual users. One unique feature that stood out is that every step in the workflow can pause or recover from failures. Instead of finishing the entire agent in one go, this approach is interesting because if there is a minor change in a previously completed step regarding the state, I can re-edit and restart from the beginning. This is truly impressive.

Quotes from Members

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

Pros

"In my opinion, the best features Dify offers are that it is very easy to connect things, the GUI is good, and the connectors are sensible."
"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."
"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."
"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."
"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."
"I have been using Dify as a powerful tool for AI automation for more than 1.5 years, and I appreciate its model-agnostic approach that allows easily swapping AI models like OpenAI and Anthropic."
"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."
"What makes Dify useful is that I can visualize the AI behavior during the design process, rather than sticking on the static screen or the code or random prompt specification, and I think that's the most value it provides."
"Life became so easy when we started using Glean Platform."
"Glean Platform has positively impacted our organization, especially in terms of productivity for both us and our customers."
"When I searched for internal information spread across different systems, Glean Platform did centralize and retrieve that data for me effectively, giving me eighty percent accuracy."
"Glean Platform has increased productivity by at least one hundred hours per week for my organization."
"Since I have joined, I have built around ninety agents with Glean Platform, and it has saved our organization around twenty-seven hours a week for each user, and it has also positively impacted our ARR."
"The best features Glean Platform offers are mostly the view, which I think is very good, and what I find most helpful about the view is that the user interface is very good, making it very easy to chat with the chatbot and get all the material that I want in the way that I need it."
"Glean Platform has positively impacted my organization by speeding up a lot of repetitive tasks and making it easier for people outside of support to understand what kind of issues impact the support groups."
"I have used many solutions, but Glean Platform is the best, and I would truly appreciate it if everyone considers this platform."
 

Cons

"Dify is missing a few features which could be improved by polishing the website and creating a more attractive experience with motion graphics."
"I think Dify can be improved as the login process was definitely a bit difficult on the open-source version."
"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."
"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."
"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."
"I tried pulling in an architecture diagram of a workflow, and it pulled in some other image instead."
"There are multiple ways in which Glean Platform can be improved."
"I chose seven out of ten because if I could upload PDFs and have them analyzed, or have it integrate with my Gmail and help me go through my emails, that would be very useful, but I do not think it does that."
"Glean Platform can implement more models. The NLP creation could be a little faster, and while debugging is amazing, the routing also needs to provide higher quality outputs sometimes rather than extensive searching."
"My experience with pricing, setup cost, and licensing is that the licenses were expensive, and it was hard to convince the company to adopt based on that."
"Also, the latency that the platform offers is a little high right now; what I have noticed is that on a particular query, the user has to wait a long time in order to get responses."
"Currently, Glean Platform does not integrate with Teams, Microsoft-owned platforms."
"Sometimes Glean Platform gets slowed down."
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Top Industries

By visitors reading reviews
Construction Company
18%
Comms Service Provider
12%
Manufacturing Company
9%
Computer Software Company
7%
Financial Services Firm
16%
Outsourcing Company
14%
Manufacturing Company
11%
Comms Service Provider
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business5
Large Enterprise3
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise1
Large Enterprise9
 

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 think Dify can be improved as the login process was definitely a bit difficult on the open-source version. When my colleague sent me an email invite to join the workspace, we had some minor issue...
What is your primary use case for Dify?
My main use case for Dify is to build low-code chatbot platforms for our company, as Copilot Studio is too basic and Dify operates at a higher level for what we want to accomplish. A specific examp...
What is your experience regarding pricing and costs for Glean Platform?
My experience with pricing, setup cost, and licensing for Glean Platform reveals limited options, and I wish there was more customization available.
What needs improvement with Glean Platform?
In workflow agents, I would prefer that we do not use AI in every step and instead we have a toggle button or something which can configure whether AI should be used in this specific search field o...
What is your primary use case for Glean Platform?
I use Glean Platform as an enterprise search tool and I am a power user of agents, so I mostly use this on a day-to-day basis for random searches that I need to do about a company, a website, or if...
 

Comparisons

 

Also Known As

No data available
Glean Work AI Platform
 

Overview

Find out what your peers are saying about Dify vs. Glean Platform and other solutions. Updated: August 2026.
912,930 professionals have used our research since 2012.