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Glean Platform vs Windsurf 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

Glean Platform
Ranking in AI Software Development
6th
Average Rating
8.6
Number of Reviews
12
Ranking in other categories
Indexing and Search (3rd), Search as a Service (4th), AI Agent Builders (4th), AI Customer Support (5th)
Windsurf
Ranking in AI Software Development
1st
Average Rating
8.2
Reviews Sentiment
5.4
Number of Reviews
40
Ranking in other categories
IDE (1st), AI Code Assistants (1st)
 

Mindshare comparison

As of October 2026, in the AI Software Development category, the mindshare of Glean Platform is 0.4%. The mindshare of Windsurf is 0.6%, down from 24.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AI Software Development Mindshare Distribution
ProductMindshare (%)
Windsurf0.6%
Glean Platform0.4%
Other99.0%
AI Software Development
 

Featured Reviews

reviewer2810748 - PeerSpot reviewer
Analyst at a financial services firm with 1,001-5,000 employees
Creating low-code agents has transformed policy queries and now saves employees hours daily
What I would like to see is an ease by which I can have different connectors set up. Right now I have to do a lot of back and forth in order to have these connectors enabled. Having them by default on the platform would be very helpful for me. Also, when developing custom actions, having a developer portal where users can track the log of how the requests are being sent to custom endpoints created would be helpful because right now I do not have anything of that nature. It is just a final response that I get and it becomes very difficult to keep track of what is happening in the backend. 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. If there is a way to reduce this time and improve performance by decreasing the time for responses, that would be very good. I believe that the latency offered is a little high right now. If I can get prompt responses quickly, then that would be a real user experience enhancement. Also, what I have noticed is the problem that developers face when creating custom actions in Glean Platform, where we are not able to keep track of what is happening in the backend. A logger of sorts would be very good so that I can maintain an idea of what is happening in the backend. If that issue is resolved, along with also the issue of having custom connectors available from the start rather than going to Glean Platform and having conversations about the thing, then it would be very good. If these issues are resolved, then it would be a strong 10 out of 10 from me. But as of now, it will be an 8 out of 10. Glean Platform is a very capable platform. It is good for indexing documents and reducing manual workflows by incorporating an element of AI in it. Business usage can be increased as well. The one caveat is if there are developers who are creating actions on Glean Platform, then I must keep an eye on the logging that I have for the platform because interacting with the backend systems becomes very difficult using Glean Platform. Also, what I have noticed is that it is a real challenge in terms of latency as some of the responses may take a little while to load. However, what I have noticed is that the responses are usually very accurate, and so it is a trade-off between speed and accuracy. This is what I would advise to someone who is looking at Glean Platform.
DHARMA-TEJA - PeerSpot reviewer
Software Enginner at Sera AI
Feature workflows have become faster and context-aware development is now system-focused
Windsurf has become less of a tool and more of a core part of how I build. I do not think in terms of writing code line by line anymore; I think in terms of features, flows, and systems, and Windsurf helped me translate that into actual implementation across the codebase. It fits especially well when I am doing rapid prototyping, exploring new ideas or architectures, or iterating on existing features quickly. At the same time, one thing I have noticed in my workflow is around model switching. When I switch between models, the GPT generating agent models sometimes the deeper context regarding decision reasoning or intermediate steps does not fully carry over, so I end up re-establishing context manually every time. It is so much painfully manual; that is not a blocker, but since I work on fairly complex multi-step systems, having strong cross-model memory consistency would make it even more powerful. One thing I would really appreciate is stronger cross-model memory and context continuity. Right now, when I switch between models, the surface-level context is there, but the deeper reasoning regarding why certain decisions were made or how a flow evolved does not always carry over fully. Since I work on complex and multi-step agents, I end up re-establishing the context manually. If Windsurf could maintain a kind of shared memory layer across models where intent, decisions, and intermediate steps persist, it would make the whole experience much more seamless. Improving the memory continuity and control would take it from powerful to extremely reliable at scale. Overall, Windsurf is already a strong tool, but there are a few areas where improvements would make a big difference, especially for advanced workflows. The first is cross-model memory and context continuity. The second is better control over agent execution. Right now, when switching between models—for instance, if I am using a tier of models and then I reach a limit, and then I need to switch to a lesser limit model—the high-level context is there, but deeper reasoning is lost. A shared memory layer across models would make the experience much more seamless. Furthermore, while Cascade is powerful, for larger changes, it would help to have more visibility or control, such as previewing the execution plan and guiding steps before it runs. The UI and documentation provided are pretty good, though I think there is room for true visibility and feedback during agent execution. While the amount of time put into the design and documentation is great, figuring out things with the documentation can often be done without any third-party help. Some advanced use cases are not fully explored in the documentation, but the best practices for using agents effectively are very clear, such as how to structure prompts for multi-file changes and how to guide Cascade for better outputs. Real-world advanced examples are already implemented in there; that could be very helpful for us. The main advice I would give to others looking into using Windsurf is to not use it as a traditional code assistant. Windsurf really shines when you treat it as a feature-level or system-level tool, not just something for autocomplete or small snippets. So instead of thinking "write this function," think more toward "build this flow." Learn how to guide it properly. That is the main thing I would advise: learn how to guide it properly, how to prompt it properly, and start with real use cases, not toy examples.

Quotes from Members

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

Pros

"I have used many solutions, but Glean Platform is the best, and I would truly appreciate it if everyone considers this platform."
"The major impact that I have noticed is how business users are now being impacted and they are using the platform because they understand it easily."
"Productivity has really skyrocketed."
"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."
"Glean Platform has increased productivity by at least one hundred hours per week for my organization."
"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 offers excellent user interface design and integration capabilities with other platforms."
"Life became so easy when we started using Glean Platform."
"Being able to handle thirty to thirty-six user stories per sprint, compared to eight before, has greatly impacted my team's productivity because the work culture and work structure have not changed."
"Windsurf's agentic AI is much more capable compared to other solutions; it understands much more context of the code better than other AI agents or solutions."
"We were deploying one time a week before we started working with Windsurf, and with Windsurf, we are succeeding in a maximum of five releases in a week."
"My productivity has improved significantly because I can have a first draft ready within thirty minutes when I start using the prediction features from Windsurf."
"Previously, the development was very slow, and after using Windsurf, my development speed increased by 70 to 80 percent."
"Windsurf has actually boosted my productivity significantly, and if I am implementing any user story or maybe working on a bug, ninety percent of my task is completed by Windsurf; I just guide it how to do it, and it completes most of my work."
"Windsurf has positively impacted my organization by helping us achieve at least ten to twenty percent improvement for each individual working in the data warehouse to use Windsurf instead of looking for help from any other team."
"Windsurf's best feature is that it is agentic."
 

Cons

"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 for Glean Platform reveals limited options, and I wish there was more customization available."
"There are multiple ways in which Glean Platform can be improved."
"Sometimes Glean Platform gets slowed down."
"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."
"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."
"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."
"I would like to add that Windsurf is very good and fits well into my workflow, but I would prefer if the cascade agent of Windsurf could be a little better."
"The answers from Windsurf are not always accurate, and it is also a bit slow."
"Windsurf can improve by making sure to ask the user if they are talking about the same context where the request started."
"I would appreciate having context usage visibility, such as a bar or indicator showing how much context is used by the chat in a single conversation."
"Windsurf should definitely improve on the retrieval coverage side and multi-agent side, which Cloud Code and others have."
"Windsurf can be improved by integrating newer features and the latest features that tools like Claude Code provide, since I think the core team has been absorbed into Google and many people have been switching over to other IDEs."
"One thing is that if there is a very large codebase, such as a legacy codebase, sometimes the context window is a hindrance."
"Windsurf can be improved by using better models, especially state-of-the-art ones."
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Outsourcing Company
14%
Manufacturing Company
11%
Comms Service Provider
8%
Financial Services Firm
12%
Manufacturing Company
10%
Outsourcing Company
9%
Comms Service Provider
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise1
Large Enterprise9
By reviewers
Company SizeCount
Small Business21
Midsize Enterprise8
Large Enterprise18
 

Questions from the Community

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...
What is your experience regarding pricing and costs for Windsurf?
Regarding pricing, I am a developer, and the pricing is handled by my management team and the platform team. As a developer, I was mainly focused on using the product rather than the procurement side.
What needs improvement with Windsurf?
Regarding improvements for Windsurf, I think it would be good if we had an integration with the cloud, a sort of cloud that way we can have autonomous agents that can handle tasks without human int...
What is your primary use case for Windsurf?
On a day-to-day basis, I use Windsurf's agentic mode, the cascade, to develop features in different projects that I work on. Most of my feature development starts with working with Windsurf's casca...
 

Comparisons

 

Also Known As

Glean Work AI Platform
No data available
 

Overview

 

Sample Customers

Information Not Available
Dell, Anduril, MongoDB, Zillow, Atlassian
Find out what your peers are saying about Glean Platform vs. Windsurf and other solutions. Updated: September 2026.
915,341 professionals have used our research since 2012.