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Microsoft FAST vs OpenText IDOL comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Microsoft FAST
Ranking in Indexing and Search
5th
Average Rating
9.0
Number of Reviews
2
Ranking in other categories
No ranking in other categories
OpenText IDOL
Ranking in Indexing and Search
4th
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 November 2024, in the Indexing and Search category, the mindshare of Microsoft FAST is 6.0%, down from 9.3% compared to the previous year. The mindshare of OpenText IDOL is 9.4%, up from 7.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Indexing and Search
 

Featured Reviews

reviewer1466883 - PeerSpot reviewer
Robust solution with good value
Microsoft FAST is quite robust. Our clients are quite happy with it. For other users who already have a solution in place, we recommend Microsoft FAST because it is more compatible and you can organize the solution with Microsoft components. If you are with any other third party, there could be a chance that the required output is not what you would expect. But with Microsoft, it will work better. It is compatible with the older generation systems, so you can offer it. On a scale of one to ten, I would give Microsoft FAST an eight because I'm quite comfortable with it.
ERICK RAMIREZ - PeerSpot reviewer
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

"Microsoft FAST is quite robust. Our clients are quite happy with it."
"IDOL has several important visual analytics, like face recognition and object detection and recognition."
 

Cons

"If there is any change in a system or a configuration or an update, we might face some issues."
"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."
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Top Industries

By visitors reading reviews
Computer Software Company
19%
Manufacturing Company
14%
Government
7%
Retailer
7%
Transportation Company
17%
Government
13%
Manufacturing Company
12%
Financial Services Firm
11%
 

Company Size

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

Questions from the Community

Ask a question
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What do you like most about IDOL?
IDOL has several important visual analytics, like face recognition and object detection and recognition.
What needs improvement with IDOL?
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 ha...
What is your primary use case for IDOL?
IDOL is primarily used in related artificial intelligence solutions, for example in global. It is also used for insight from unstructured, rich media content. We are currently recording and getting...
 

Also Known As

MS FAST
Micro Focus IDOL, HPE Autonomy IDOL, HPE IDOL
 

Overview

 

Sample Customers

Moffitt Cancer Center, Hitachi Solutions, Manupatra Information Solutions, Unique World, _KODA AUTO a.s., MindTree Ltd, Mississippi Department of Transportation
Bank Simpanan Nasional, Felco
Find out what your peers are saying about Microsoft FAST vs. OpenText IDOL and other solutions. Updated: October 2024.
816,406 professionals have used our research since 2012.