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OpenText Knowledge Discovery (IDOL) vs Oracle Endeca comparison

 

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

OpenText Knowledge Discover...
Ranking in Indexing and Search
3rd
Average Rating
8.4
Reviews Sentiment
6.3
Number of Reviews
5
Ranking in other categories
No ranking in other categories
Oracle Endeca
Ranking in Indexing and Search
12th
Average Rating
6.0
Number of Reviews
1
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of May 2025, in the Indexing and Search category, the mindshare of OpenText Knowledge Discovery (IDOL) is 7.5%, down from 9.6% compared to the previous year. The mindshare of Oracle Endeca is 3.8%, up from 2.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Indexing and Search
 

Featured Reviews

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.
it_user6903 - PeerSpot reviewer
It’s got a good range of data visualisation components, but lacks the support for runtime complex query firing and support which OBIEE supports.
Primarily, a BI tool that enables analysis of unstructured and semi-structured data, as well as more traditional structured (measures, dimensions etc) data sets with ability to bring together loosely-related datasets and analyse them using search and lexical analysis tools. The in-memory key-value store database it uses doesn’t have the same costs around data manipulation, table joins and disk access that traditional databases have, and the column-based storage it uses is particularly suited to selecting from sets of dimension members.
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Top Industries

By visitors reading reviews
Government
19%
Transportation Company
18%
Financial Services Firm
10%
Outsourcing Company
9%
No data available
 

Company Size

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

Also Known As

Micro Focus IDOL, HPE Autonomy IDOL, HPE IDOL
Endeca
 

Overview

 

Sample Customers

RTVE, Krungthai Bank, Kainos, Capax Discovery
Virgin Media, Agilent, NHS Business Services Authority, IBFD, Valdosta State University, Ministry of Labor and Social Policy, Delphi Automotive, Riverbed
Find out what your peers are saying about Elastic, Luigi's Box, OpenText and others in Indexing and Search. Updated: April 2025.
850,236 professionals have used our research since 2012.