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IBM Watson Discovery vs OpenText Decisiv comparison

IBM and OpenText are both solutions in the Indexing and Search category. IBM is ranked #3 with an average rating of 8.0, while OpenText is ranked #17. IBM holds a 3.2% mindshare in IS, compared to OpenText’s 0.5% mindshare. Additionally, 100% of IBM users are willing to recommend the solution, compared to 100% of OpenText users who would recommend it.
IBM Watson Discovery
Read 4 IBM Watson Discovery reviews
  • 667 Views
  • 126 Comparison Views
100% willing to recommend
OpenText Decisiv
Read 1 OpenText Decisiv review
  • 82 Views
  • 21 Comparison Views
100% willing to recommend
 

Comparison Buyer's Guide

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Executive Summary
We performed a comparison between IBM Watson Discovery and OpenText Decisiv based on real PeerSpot user reviews.

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

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To learn more, read our detailed Indexing and Search Report (Updated: November 2024).
Buyer's Guide
Indexing and Search
November 2024
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Categories and Ranking

IBM Watson Discovery
Ranking in Indexing and Search
3rd
Average Rating
7.8
Number of Reviews
4
Ranking in other categories
No ranking in other categories
OpenText Decisiv
Ranking in Indexing and Search
17th
Average Rating
10.0
Number of Reviews
1
Ranking in other categories
Knowledge Management Software (26th)
 

Mindshare comparison

As of December 2024, in the Indexing and Search category, the mindshare of IBM Watson Discovery is 3.2%, down from 6.1% compared to the previous year. The mindshare of OpenText Decisiv is 0.5%, down from 1.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Indexing and Search
 

Featured Reviews

Geraldo Lima - PeerSpot reviewer
Stable, scalable, and has testing and conversational AI features
The total time it takes to deploy IBM Watson Discovery depends on the documents you'll be working with. For example, I was in a situation where I was working with some painting files and folders for a painting store. The store had PDF documents, but the information was mixed up, so I had to treat the documents on IBM Watson Discovery, and discovering and understanding each PDF file took longer. The process is more straightforward for plain documents, and you have to work with questions that will help IBM Watson Discovery understand the documents. The time to deploy the product depends on the quantity and type of documents you'll be working with.
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reviewer1719999 - PeerSpot reviewer
Frequent updates, highly stable, and robust
We have had thousands of users, the solution is highly scalable. We have had a large installation of OpenText Decisiv and there were approximately 6,000 users. The user's roles vary, such as records managers. Additionally, depending on the organization, a lot of our clients are in the federal government which they have different types of roles, but most of them are end-users. They're searching for documents or the records that are in their repository, there are document producers, but most people are searching.
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Quotes from Members

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

Pros

"Being able to have some rules to extract the entities is valuable. The capability to crawl external sites and internal documents, and then draw internal information with external contents is also valuable."
"The most valuable feature of IBM Watson Discovery is testing, mainly because the product applies conversational AI, which means I can ask questions to get the information I want from a specific test area."
"Language support and the ability to build a natural language of speech recognition are the most valuable features."
"The most valuable features of IBM Watson Discovery are the integration with the rest of the Watson Suite and the Watson Assistant capability. If you use Watson Assistant, the ability for it to be able to determine the accuracy of your voice models and your voice response systems is a benefit."
"The most valuable feature of OpenText Decisiv is they are always improving."
 

Cons

"It needs a lot of memory. Our index is very big. It is around 100 gigabytes. So, we need more than 100 gigabytes of memory to use Watson."
"There are probably other chatbots out there that were built for specific use cases and are easier to deploy than this. Having said that, Watson is way more flexible. While it may require a greater amount of effort, it is not substantially more than some of the other ones that are kind of prebuilt for a specific use case. It would be good to have more prebuilt and specific use cases and specific business models. It can have better phone integration, even though I think that it is actually becoming less of an issue. Most people are online nowadays."
"The pricing is an area for improvement in IBM Watson Discovery because the customer initially used the free version. Still, when he needed more questions and documents, he had to move to a different version, which was paid and cost $500 per month. That change in pricing made my company lose many customers."
"The support from IBM Watson Discovery is good but could improve to make it great."
"OpenText Decisiv is difficult to do customization. They need to improve this."
 

Pricing and Cost Advice

"Cost-wise, it is very reasonable because it is cloud-based."
"IBM Watson Discovery is an expensive product."
"The price of the solution can vary drastically because it depends on the modules that a client using. There is an additional cost of approximately 25% for maintenance."
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Top Industries

By visitors reading reviews
Computer Software Company
26%
Government
17%
Financial Services Firm
12%
University
9%
No data available
 

Company Size

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

Questions from the Community

What do you like most about IBM Watson Discovery?
The most valuable feature of IBM Watson Discovery is testing, mainly because the product applies conversational AI, which means I can ask questions to get the information I want from a specific tes...
See all answers
What is your experience regarding pricing and costs for IBM Watson Discovery?
IBM Watson Discovery is an expensive product.
See all answers
What needs improvement with IBM Watson Discovery?
The pricing is an area for improvement in IBM Watson Discovery because the customer initially used the free version. Still, when he needed more questions and documents, he had to move to a differen...
See all answers
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Comparisons

Elastic Search vs IBM Watson Discovery Logo
Elastic Search vs IBM Watson Discovery
Compared 100% of the time
More IBM Watson Discovery Competitors
No data available
 

Product Reports

Buyer's Guide
Indexing and Search
November 2024
IBM Watson Discovery reportDownload IBM Watson Discovery product report
Buyer's Guide
Indexing and Search
November 2024
OpenText Decisiv reportDownload OpenText Decisiv product report
 

Learn More

Video not available
IBM
OpenText
 

Overview

Watson Discovery is an award-winning enterprise search and AI search technology that breaks open data silos and retrieves specific answers to your questions while analyzing trends and relationships buried in enterprise data. Watson Discovery applies the latest breakthroughs in machine learning, including natural language processing capabilities, and is easily trained on the language of your domain. Unlike competitors, Watson Discovery can be deployed on any cloud or on-premises environment.

OpenText Decisiv is an enterprise search engine that goes beyond keywords to search multiple repositories at once to find key documents, view projects and identify internal subject-matter experts.

 

Sample Customers

Prudential, Bradesco, Woodside
Hyatt
Buyer's Guide
Indexing and Search
November 2024
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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.