Google Search Appliance [EOL] vs OpenText Knowledge Discovery (IDOL) comparison

Google and OpenText are both solutions in the Indexing and Search category. Additionally, 100% of Google users are willing to recommend the solution, compared to 100% of OpenText users who would recommend it.

Google Search Appliance [EOL]

Read 2 Google Search Appliance [EOL] reviews

100% willing to recommend

OpenText Knowledge Discover...

Read 5 OpenText Knowledge Discovery (IDOL) reviews

728 Views
721 Comparison Views

100% willing to recommend

Google Search Appliance [EOL]

OpenText Knowledge Discover...

Comparison Buyer's Guide

Download the report

Executive Summary

We performed a comparison between Google Search Appliance [EOL] and OpenText Knowledge Discovery (IDOL) based on real PeerSpot user reviews.

Find out what your peers are saying about Elastic, Glean, Luigi's Box and others in Indexing and Search.

To learn more, read our detailed Indexing and Search Report (Updated: May 2026).

Buyer's Guide

Indexing and Search

May 2026

Download the complete report

Helped 892,868 peers since 2012

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

Google Search Appliance [EOL]

Average Rating

8.0

Number of Reviews

Ranking in other categories

No ranking in other categories

OpenText Knowledge Discover...

Average Rating

8.4

Reviews Sentiment

6.3

Number of Reviews

Ranking in other categories

Indexing and Search (5th)

Featured Reviews

it_user1227

Tech Support Staff at a tech company with 51-200 employees

Fast and efficient enterprise search application with query support in 40 different languages

A very good enterprise search application. Search results are produced pretty fast and the contents gets re-index quite often which ensures that the search results are not stale. The Administrative Interface is very easy to use and has a lot of useful information. The number of pages crawled by google search appliance is quite high compared other tools in the same domain. Another good feature of Google search appliance is that, the search index keeps getting updated for every update to any doc and removal of any doc actual clears the corresponding entry in the search index ensuring that non-existent entries don't show up in the results page. Search results can be grouped in various collections e.g. university collections, medical collections etc. Google Search Appliance very smartly handles the synonyms, as can be seen in the "narrow your search" feature. Indexing of content can be easily configured by specifying URLs

Read full review

ERICK RAMIREZ

Team Lead Solutions Architect at IMEXPERTS DO BRASIL

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.

Read full review

Quotes from Members

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

Pros

"A very good enterprise search application with a good administrative user interface which is intuitive and easy to use."

"Good for enterprise search."

"Enterprise search success (finding what documents you're looking for) has gone up over 30% with users finding their hit on the first page of results as opposed to the 2,3,4th or giving up entirely."

"IDOL is a scalable solution: If a client needs to process more unstructured media content, they can scale IDOL both linearly and vertically, and you can scale this solution very easily."

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

"Speed improvements over older Fetch architecture."

"Capability of processing and analysing unstructured data, like audio and video analysis."

"Satisfaction and ability to find relevant content has increased over 50% based on our before and after survey results."

Cons

"The ordering of search result is quite random and it is often seen that the most relevant search result is not shown in the top, which is quite confusing."

"Can't customize algorithm. Little bit black box because you can't customize search algorithm."

"Technical support could improve a lot."

"The interface needs to be mobile friendly, which I understand is in the backlog of future improvements."

"Understanding how to optimize Lua Scripting configuration to improve performance. Lua Scripts added to a CFS configuration can cause the CFS processing to slow down, if the scripts are not scoped to only run against specific indexing jobs or database content."

"On-premise implementation and installation is very complicated."

"IDOL's tech support needs improvement."

"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."

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

892,868 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

No data available

Transportation Company

16%

Government

12%

Financial Services Firm

10%

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Comparisons

Exa vs Google Search Appliance [EOL]

Compared 33% of the time

More Google Search Appliance [EOL] Competitors

Elastic Search vs OpenText Knowledge Discovery (IDOL)

Compared 24% of the time

Ryft Systems vs OpenText Knowledge Discovery (IDOL)

Compared 16% of the time

OpenText Legal Knowledge Management vs OpenText Knowledge Discovery (IDOL)

Compared 15% of the time

Lucene vs OpenText Knowledge Discovery (IDOL)

Compared 12% of the time

IBM StoredIQ vs OpenText Knowledge Discovery (IDOL)

Compared 10% of the time

More OpenText Knowledge Discovery (IDOL) Competitors

Product Reports

Buyer's Guide

Indexing and Search

May 2026

Download Google Search Appliance [EOL] product report

Buyer's Guide

Indexing and Search

May 2026

OpenText Knowledge Discovery (IDOL) report

Download OpenText Knowledge Discovery (IDOL) product report

Also Known As

No data available

Micro Focus IDOL, HPE Autonomy IDOL, HPE IDOL

Overview

Google Search Appliance combines the search expertise of Google with features that meet today's business requirements all in one box. As features, it allows users to lend their expertise by adding handpicked results to search queries, ensuring that relevant results appear at the top for certain keywords, analyzes user behavior and preferences to learn from experience and deliver more relevant results over time and benefits from the technology of Google.com, which evolves continually through machine learning from billions of search queries.

Google

OpenText Knowledge Discovery (IDOL) is an AI-driven platform for advanced search, knowledge discovery, and analytics, analyzing unstructured data through text, audio, video, and image analytics.

Leveraging AI and machine learning, OpenText Knowledge Discovery (IDOL) provides insights from unstructured data. It transforms diverse data types into actionable intelligence, enabling businesses to improve decision-making processes. With integrated analytics, users gain significant value by tapping into hidden data insights across text, audio, video, and images.

What are the most important features of OpenText Knowledge Discovery (IDOL)?

Text Analytics: Extracts insights from text data using natural language processing.
Audio Analytics: Analyzes voice data for trends and patterns.
Video Analytics: Captures visual insights from video content.
Image Analytics: Interprets images to identify relevant information.
AI and Machine Learning: Enhances data processing through advanced algorithmic capabilities.

What benefits and ROI should users evaluate in OpenText Knowledge Discovery (IDOL) reviews?

Improved Decision-Making: Facilitates faster, data-driven decisions.
Enhanced Data Insights: Uncovers hidden insights across multiple media types.
Increased Efficiency: Streamlines data analysis and reporting processes.
Scalability: Adapts to growing data needs without performance loss.

OpenText Knowledge Discovery (IDOL) is widely implemented across industries such as finance, healthcare, and legal services. In finance, it supports risk management by analyzing diverse data streams for anomalies. Healthcare sectors use it to enhance patient care through comprehensive data analysis. Legal services gain from its ability to sift through massive volumes of documents, aiding timely and informed decisions.

OpenText

Sample Customers

British Airways, City of Calgary, Discovery Channel, Emerson Process Management, FINRA, GoDaddy.com, Hayneedle, Hays, Honeywell Aerospace, Honeywell Transportation, Posco, Soci_t_ G_n_rale Group

RTVE, Krungthai Bank, Kainos, Capax Discovery

Find out what your peers are saying about Elastic, Glean, Luigi's Box and others in Indexing and Search. Updated: May 2026.

DOWNLOAD NOW

892,868 professionals have used our research since 2012.

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.