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Azure AI Search 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

Azure AI Search
Ranking in Search as a Service
4th
Average Rating
7.6
Number of Reviews
12
Ranking in other categories
No ranking in other categories
Glean Platform
Ranking in Search as a Service
6th
Average Rating
8.6
Number of Reviews
12
Ranking in other categories
Indexing and Search (3rd), AI Agent Builders (4th), AI Software Development (7th), AI Customer Support (7th)
 

Mindshare comparison

As of November 2026, in the Search as a Service category, the mindshare of Azure AI Search is 12.8%, up from 9.6% compared to the previous year. The mindshare of Glean Platform is 5.0%, up from 2.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Search as a Service Mindshare Distribution
ProductMindshare (%)
Azure AI Search12.8%
Glean Platform5.0%
Other82.2%
Search as a Service
 

Featured Reviews

Harshal Chandekar - PeerSpot reviewer
AI Consultant at a tech vendor with 10,001+ employees
Rag workflows have improved document search and reduced development effort for client projects
In my experience, the best features Azure AI Search offers are that it is very easy to upload documents and they can obviously be very agile and we can query upon these documents very easily. When I say it is easy to upload and query documents, it makes the application more reliable in the case that if we have a certain study or certain use case wherein just that PDF or just those amount of information will be used and not the entire thing, so the user can just go quickly and search for that documentation. I think it is fully integrated with Azure and we use Azure primarily for our primary cloud platform, so that helps very much in integrating and in maintaining one service provider. Regarding Azure AI Search's AI capabilities, it provides good security in terms of reliability and scalability as well, so there are no concerns for it regarding those issues. Regarding Azure AI Search's AI capabilities, it is accurate and reliable 99% of the time.
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.

Quotes from Members

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

Pros

"The customer engagement was good."
"Creates indexers to get data from different data sources."
"The features in Azure AI Search that are most valuable include the ability to automate index creation, and you can drop in the blob storage or drop in the SQL table, which will get automatically indexed."
"By implementing Azure Search, I have been able to create immersive, feature-rich search experiences for my applications that feature helpful facets, in-line highlighting, and predictive results as user types."
"Azure Search is well-documented, making it easy to understand and implement."
"The broad access capability is probably the most valuable feature, as it provides access with hardly any physical infrastructure."
"It provides good access capabilities to various platforms."
"The product is pretty resilient."
"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."
"Productivity has really skyrocketed."
"Glean Platform offers excellent user interface design and integration capabilities with other platforms."
"Life became so easy when we started using Glean Platform."
"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."
"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 increased productivity by at least one hundred hours per week for my organization."
"I have used many solutions, but Glean Platform is the best, and I would truly appreciate it if everyone considers this platform."
 

Cons

"They should add an API for third-party vendors, like a security operating center or reporting system, that would be a big improvement."
"I think Azure AI Search can be improved by implementing it with the agents as well, and I think that their agent integration is something they could work upon or they can improve it very easily or without managing anything, but apart from that, it is building basic functionalities of RAG, but if that would be expanded to agents as well, then that would be very useful."
"On a scale from one to ten where one is the worst and ten is the best, I would rate Azure Search as probably a six-out-of-ten."
"The solution's stability could be better."
"Adding items to Azure Search using its .NET APIs sometimes throws exceptions."
"The pricing is room for improvement."
"The initial setup is not as easy as it should be."
"Azure AI Search could be improved regarding compatibility with Azure Blob Storage in order to keep the prompts and everything that I am using for building the tool safe."
"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."
"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."
"Sometimes Glean Platform gets slowed down."
"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."
"Currently, Glean Platform does not integrate with Teams, Microsoft-owned platforms."
"There are multiple ways in which Glean Platform can be improved."
"My experience with pricing, setup cost, and licensing for Glean Platform reveals limited options, and I wish there was more customization available."
"I tried pulling in an architecture diagram of a workflow, and it pulled in some other image instead."
 

Pricing and Cost Advice

"​When telling people about the product, I always encourage them to set up a new service using the free pricing tier. This allows them to learn about the product and its capabilities in a risk-free environment. Depending on their needs, the free tier may be suitable for their projects, however enterprise applications will most likely required a higher, paid tier."
"The cost is comparable."
"I would rate the pricing an eight out of ten, where one is the low price, and ten is the high price."
"For the actual costs, I encourage users to view the pricing page on the Azure site for details.​"
"I think the solution's pricing is ok compared to other cloud devices."
"The solution is affordable."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
11%
Computer Software Company
10%
Outsourcing Company
9%
Comms Service Provider
7%
Financial Services Firm
15%
Outsourcing Company
14%
Manufacturing Company
11%
Comms Service Provider
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise5
Large Enterprise5
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise1
Large Enterprise9
 

Questions from the Community

What needs improvement with Azure Search?
I think Azure AI Search can be improved by implementing it with the agents as well, and I think that their agent integration is something they could work upon or they can improve it very easily or ...
What is your primary use case for Azure Search?
My main use case for Azure AI Search is building RAG workflows which are useful for client work. I used Azure AI Search in finding documents about a user manual in which the problem statement was i...
What advice do you have for others considering Azure Search?
On a scale of 1 to 10, I rate Azure AI Search a nine. I chose a nine for Azure AI Search primarily because of the agents and the use cases are very limited, I would say to RAG as of now. Azure AI S...
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...
 

Also Known As

No data available
Glean Work AI Platform
 

Overview

 

Sample Customers

XOMNI, Real Madrid C.F., Weichert Realtors, JLL, NAV CANADA, Medihoo, autoTrader Corporation, Gjirafa
Information Not Available
Find out what your peers are saying about Azure AI Search vs. Glean Platform and other solutions. Updated: November 2026.
920,939 professionals have used our research since 2012.