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Elastic Cloud (Elasticsearch Service) vs OpenText Knowledge Discovery (IDOL) 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

Elastic Cloud (Elasticsearc...
Ranking in Indexing and Search
13th
Average Rating
8.4
Number of Reviews
4
Ranking in other categories
No ranking in other categories
OpenText Knowledge Discover...
Ranking in Indexing and Search
6th
Average Rating
8.4
Reviews Sentiment
6.3
Number of Reviews
5
Ranking in other categories
No ranking in other categories
 

Featured Reviews

Mahir Selek - PeerSpot reviewer
Data Scientist at a educational organization with 5,001-10,000 employees
Chatbot has handled large PDF search workloads and provides clear dashboards for daily work
Because I am pursuing a PhD and work under the university, my university has an agreement with AWS, which makes it essentially free and easier to use. In the AWS ecosystem, everything is connected and I can control everything without uncertainty about what is happening behind the scenes. However, when using Elastic Cloud (Elasticsearch Service), I connected it to Google Cloud but I am paying separate receipts. Over the last two months in October and November, I paid two separate invoices that are not connected to Google Cloud, which I did not appreciate. Google Cloud has a nice interface that gives me full control of pricing and billing. I can see daily, weekly, and monthly breakdowns with bar charts, and I can track exactly how much I spent during any period. Elastic Cloud (Elasticsearch Service) does not have such a tool for billing visibility. Since I am handling significant amounts of money and am responsible for this task within my company, I have high expectations for pricing and billing transparency. I would appreciate the ability to set a spending limit, such as uploading 200 euros, and receive notifications when reaching 50% of that limit. These notifications could appear on the dashboard, in the application, or via email. It would be valuable to see a timeline of my spending. I would characterize the pricing as somewhat expensive. I did not use competitors extensively, so I may have a bias about this. The pricing of large language models is not expensive—I use Anthropic's Claude or Google's Gemini, which are state-of-the-art models. However, I am uncertain whether I have a bias about Elastic Cloud (Elasticsearch Service) pricing. It is not extraordinarily expensive, but when I compare it with the cost of using large language models or Google Cloud storage, it is quite expensive. A couple of days ago, the Elastic team reached out to me. We have been regularly using the service since April, and 10 days ago at the beginning of December, I deleted my hosted deployments because I did not like the idea of paying when I am not actively using Elastic Cloud (Elasticsearch Service). They informed me that there is a serverless option available. Before Christmas, I want to try it to see how it works, as I am uncertain about the serverless concept and whether it will provide the same functionality that I use with the hosted deployment.
ERICK RAMIREZ - PeerSpot reviewer
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.

Quotes from Members

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

Pros

"Scalability is valuable to me, as I have 50,000 PDF JSON files that contain my metadata, and I am really glad to use Elastic Cloud (Elasticsearch Service) for this volume without any issues."
"Elastic Cloud (Elasticsearch Service) is a wonderful solution for seamless implementation and maintaining its health."
"Elastic Cloud (Elasticsearch Service) has positively impacted my organization by allowing us to move away from expensive services such as DataDog and gives us about the same level of service while allowing us to keep data for a longer period of time at a cheaper price."
"There have been quite a lot of good outcomes since using Elastic Cloud (Elasticsearch Service); customers have been able to use their data much faster and more effectively, and it definitely stands as one of the best observability platforms."
"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."
"Capability of processing and analysing unstructured data, like audio and video analysis."
"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."
"Speed improvements over older Fetch architecture."
"IDOL has several important visual analytics, like face recognition and object detection and recognition."
"Satisfaction and ability to find relevant content has increased over 50% based on our before and after survey results."
 

Cons

"I would characterize the pricing as somewhat expensive. It is not extraordinarily expensive, but when I compare it with the cost of using large language models or Google Cloud storage, it is quite expensive."
"The logging feature of Elastic Cloud (Elasticsearch Service) itself is pretty valuable, but we tried the observability module and some of the AI features. Those need improvement."
"Sometimes it gets tricky to navigate through the user manuals because there are different forms of links."
"Machine learning might be expensive for customers."
"IDOL's tech support needs improvement."
"Technical support could improve a lot."
"The interface needs to be mobile friendly, which I understand is in the backlog of future improvements."
"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."
"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."
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Top Industries

By visitors reading reviews
Construction Company
24%
Computer Software Company
16%
Educational Organization
8%
Financial Services Firm
7%
Construction Company
13%
Manufacturing Company
10%
Financial Services Firm
10%
Government
10%
 

Company Size

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

Questions from the Community

What needs improvement with Elastic Cloud (Elasticsearch Service)?
Machine learning might be expensive for customers. Customers take advantage of Elastic being open source, but machine learning is not available in the open source version. If a customer is using th...
What is your primary use case for Elastic Cloud (Elasticsearch Service)?
I developed a chatbot with text summarization and question answering capabilities. I need to summarize multiple PDFs, and I have a database in Google Cloud Storage where I perform keyword matching ...
What advice do you have for others considering Elastic Cloud (Elasticsearch Service)?
Some of my customers utilize Elastic Cloud (Elasticsearch Service), especially in the private sector, but most of the government sector do not use it. Elastic Cloud (Elasticsearch Service) performs...
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Also Known As

No data available
Micro Focus IDOL, HPE Autonomy IDOL, HPE IDOL
 

Overview

 

Sample Customers

Information Not Available
RTVE, Krungthai Bank, Kainos, Capax Discovery
Find out what your peers are saying about Elastic Cloud (Elasticsearch Service) vs. OpenText Knowledge Discovery (IDOL) and other solutions. Updated: June 2026.
902,894 professionals have used our research since 2012.