• Home
  • Hyland Enterprise Search vs. OpenText IDOL

Hyland Enterprise Search vs OpenText IDOL comparison

Cancel
You must select at least 2 products to compare!
Hyland Logo

Hyland Enterprise Search

102 views|59 comparisons
OpenText Logo

OpenText IDOL

Read 5 OpenText IDOL reviews
360 views|214 comparisons
100% willing to recommend
Comparison Buyer's Guide
Download the complete report
Buyer's Guide
Indexing and Search
March 2024
Executive Summary

We performed a comparison between Hyland Enterprise Search 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).
Download the complete report
767,847 professionals have used our research since 2012.
Featured Review
Use Hyland Enterprise Search?
ERICK RAMIREZ
Scales linearly and vertically; primarily used in AI
report
See Which Vendors Are Best For You
Use our free recommendation engine to learn which Indexing and Search solutions are best for your needs.
See Recommendations
767,847 professionals have used our research since 2012.
Questions from the Community
Ask a question

Earn 20 points

What do you like most about IDOL?
Top Answer:IDOL has several important visual analytics, like face recognition and object detection and recognition.
What needs improvement with IDOL?
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 »
What is your primary use case for IDOL?
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
13th
out of 25 in Indexing and Search
Views
102
Comparisons
59
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
ISYS, Perceptive Enterprise Search
Micro Focus IDOL, HPE Autonomy IDOL, HPE IDOL
Learn More
Hyland
Video Not Available
OpenText
Overview

Enterprise Search from Hyland enables you to find the precise information you need from inside any type of document, file and email generated across your organization and located in content repositories, SharePoint sites, email systems, network shares, intranets, extranets, websites, databases, social media and all other places.  Being able to quickly locate information across all these places can help your users complete a task, solve a problem or advance a business process more efficiently and can help your organization reduce information security risk and improve compliance.

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
Bank Simpanan Nasional, Felco
Top Industries
No Data Available
VISITORS READING REVIEWS
Government13%
Outsourcing Company11%
Manufacturing Company11%
Real Estate/Law Firm10%
Company Size
No Data Available
VISITORS READING REVIEWS
Small Business22%
Midsize Enterprise14%
Large Enterprise63%
Buyer's Guide
Indexing and Search
March 2024
Download Free Report
Find out what your peers are saying about Elastic, IBM, OpenText and others in Indexing and Search. Updated: March 2024.
DOWNLOAD NOW
767,847 professionals have used our research since 2012.

Hyland Enterprise Search is ranked 13th in Indexing and Search while OpenText IDOL is ranked 3rd in Indexing and Search with 5 reviews. Hyland Enterprise Search is rated 0.0, while OpenText IDOL is rated 8.4. On the other hand, the top reviewer of OpenText IDOL writes "Scales linearly and vertically; primarily used in AI". Hyland Enterprise Search is most compared with , whereas OpenText IDOL is most compared with Elastic Search, Lucene and Google Search Appliance.

See our list of best Indexing and Search vendors.

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.