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Glean Platform vs OpenText Knowledge Discovery (IDOL) 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 Indexing and Search
3rd
Average Rating
8.6
Number of Reviews
12
Ranking in other categories
Search as a Service (4th), AI Agent Builders (4th), AI Software Development (6th), AI Customer Support (5th)
OpenText Knowledge Discover...
Ranking in Indexing and Search
5th
Average Rating
8.4
Reviews Sentiment
6.3
Number of Reviews
5
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of October 2026, in the Indexing and Search category, the mindshare of Glean Platform is 4.6%, up from 1.7% compared to the previous year. The mindshare of OpenText Knowledge Discovery (IDOL) is 6.4%, down from 7.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Indexing and Search Mindshare Distribution
ProductMindshare (%)
Glean Platform4.6%
OpenText Knowledge Discovery (IDOL)6.4%
Other89.0%
Indexing and Search
 

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.
ERICK RAMIREZ - PeerSpot reviewer
Team Lead Solutions Architect at IMEXPERTS DO BRASIL
Scales linearly and vertically; primarily used in AI
If I am not wrong, IDOL is working to release improvements in new capabilities in the next six months. There is room for improvement in some very important capabilities in visual analytics. They have been focusing on improving the face recognition algorithm. The accuracy of object detection could be improved as well and I know they are working on that at the moment. I would like to see some machine learning capabilities added to the next release.

Quotes from Members

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

Pros

"Productivity has really skyrocketed."
"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."
"The best features Glean Platform offers include the ability to create my own agents, for example, I created a self-service agent for my stakeholders, so rather than email me, I sent them a link to an agent where the agent asks them questions and drills down to exactly what they need, and then I get a qualified response from them."
"Glean Platform has increased productivity by at least one hundred hours per week for my organization."
"Glean Platform has positively impacted our organization, especially in terms of productivity for both us and our customers."
"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."
"Glean Platform offers excellent user interface design and integration capabilities with other platforms."
"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."
"Enterprise search success (finding what documents you're looking for) has gone up over 30% with users finding their hit on the first page of results as opposed to the 2,3,4th or giving up entirely."
"Speed improvements over older Fetch architecture."
"Satisfaction and ability to find relevant content has increased over 50% based on our before and after survey results."
"Capability of processing and analysing unstructured data, like audio and video analysis."
"IDOL has several important visual analytics, like face recognition and object detection and recognition."
"IDOL is a scalable solution: If a client needs to process more unstructured media content, they can scale IDOL both linearly and vertically, and you can scale this solution very easily."
 

Cons

"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 or not, or in this specific node or not, because currently it's using AI in all nodes which sometimes messes up the output."
"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."
"There are multiple ways in which Glean Platform can be improved."
"Currently, Glean Platform does not integrate with Teams, Microsoft-owned platforms."
"Sometimes Glean Platform gets slowed down."
"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."
"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."
"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."
"On-premise implementation and installation is very complicated."
"The interface needs to be mobile friendly, which I understand is in the backlog of future improvements."
"Understanding how to optimize Lua Scripting configuration to improve performance. Lua Scripts added to a CFS configuration can cause the CFS processing to slow down, if the scripts are not scoped to only run against specific indexing jobs or database content."
"There is room for improvement in some very important capabilities in visual analytics. They have been focusing on improving the face recognition algorithm. The accuracy of object detection could be improved as well and I know they are working on that at the moment."
"IDOL's tech support needs improvement."
"Technical support could improve a lot."
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Outsourcing Company
14%
Manufacturing Company
11%
Comms Service Provider
8%
Construction Company
14%
Comms Service Provider
11%
Manufacturing Company
8%
Government
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise1
Large Enterprise9
No data available
 

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...
Ask a question
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Also Known As

Glean Work AI Platform
Micro Focus IDOL, HPE Autonomy IDOL, HPE IDOL
 

Overview

 

Sample Customers

Information Not Available
RTVE, Krungthai Bank, Kainos, Capax Discovery
Find out what your peers are saying about Glean Platform vs. OpenText Knowledge Discovery (IDOL) and other solutions. Updated: September 2026.
915,287 professionals have used our research since 2012.