Microsoft FAST vs OpenText IDOL comparison

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Microsoft Logo
405 views|291 comparisons
100% willing to recommend
OpenText Logo
360 views|214 comparisons
100% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Microsoft FAST and OpenText IDOL based on real PeerSpot user reviews.

Find out what your peers are saying about Elastic, IBM, OpenText and others in Indexing and Search.
To learn more, read our detailed Indexing and Search Report (Updated: March 2024).
768,857 professionals have used our research since 2012.
Featured Review
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."

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"IDOL has several important visual analytics, like face recognition and object detection and recognition."

More OpenText IDOL Pros →

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

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"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."

More OpenText IDOL Cons →

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Questions from the Community
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Top Answer:IDOL has several important visual analytics, like face recognition and object detection and recognition.
Top Answer: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… more »
Top Answer: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… more »
Ranking
4th
out of 25 in Indexing and Search
Views
405
Comparisons
291
Reviews
0
Average Words per Review
0
Rating
N/A
3rd
out of 25 in Indexing and Search
Views
360
Comparisons
214
Reviews
1
Average Words per Review
420
Rating
8.0
Comparisons
Also Known As
MS FAST
Micro Focus IDOL, HPE Autonomy IDOL, HPE IDOL
Learn More
Overview
Microsoft FAST Search Server 2010 for SharePoint combines the power of FAST with the simplicity of SharePoint. FAST Search Server 2010 for SharePoint delivers an exceptional intranet and people search experience and a platform for building custom search-driven applications.
The IDOL Server collects indexed data from connectors and stores it in its proprietary structure, optimized for fast processing and retrieval of data.
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
Top Industries
VISITORS READING REVIEWS
Computer Software Company23%
Manufacturing Company11%
Energy/Utilities Company9%
Financial Services Firm9%
VISITORS READING REVIEWS
Government15%
Outsourcing Company11%
Manufacturing Company11%
Real Estate/Law Firm9%
Company Size
VISITORS READING REVIEWS
Small Business18%
Midsize Enterprise16%
Large Enterprise66%
VISITORS READING REVIEWS
Small Business22%
Midsize Enterprise14%
Large Enterprise65%
Buyer's Guide
Indexing and Search
March 2024
Find out what your peers are saying about Elastic, IBM, OpenText and others in Indexing and Search. Updated: March 2024.
768,857 professionals have used our research since 2012.

Microsoft FAST is ranked 4th in Indexing and Search while OpenText IDOL is ranked 3rd in Indexing and Search with 5 reviews. Microsoft FAST is rated 9.0, while OpenText IDOL is rated 8.4. The top reviewer of Microsoft FAST writes "Robust solution with good value". On the other hand, the top reviewer of OpenText IDOL writes "Scales linearly and vertically; primarily used in AI". Microsoft FAST is most compared with Elastic Search, Lookeen, Lucene and IBM Watson Discovery, whereas OpenText IDOL is most compared with Elastic Search, Lucene and Google Search Appliance.

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We monitor all Indexing and Search reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.