IBM Watson Discovery vs OpenText Decisiv comparison

Cancel
You must select at least 2 products to compare!
IBM Logo
964 views|215 comparisons
100% willing to recommend
OpenText Logo
103 views|34 comparisons
100% willing to recommend
Comparison Buyer's Guide
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, IBM, OpenText and others in Indexing and Search.
To learn more, read our detailed Indexing and Search Report (Updated: March 2024).
768,740 professionals have used our research since 2012.
Featured Review
Anonymous User
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 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 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."

More IBM Watson Discovery Pros →

"The most valuable feature of OpenText Decisiv is they are always improving."

More OpenText Decisiv Pros →

Cons
"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.""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.""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."

More IBM Watson Discovery Cons →

"OpenText Decisiv is difficult to do customization. They need to improve this."

More OpenText Decisiv Cons →

Pricing and Cost Advice
  • "Cost-wise, it is very reasonable because it is cloud-based."
  • "IBM Watson Discovery is an expensive product."
  • More IBM Watson Discovery Pricing and Cost Advice →

  • "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."
  • More OpenText Decisiv Pricing and Cost Advice →

    report
    Use our free recommendation engine to learn which Indexing and Search solutions are best for your needs.
    768,740 professionals have used our research since 2012.
    Questions from the Community
    Top Answer: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… more »
    Top Answer: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… more »
    Ask a question

    Earn 20 points

    Ranking
    2nd
    out of 25 in Indexing and Search
    Views
    964
    Comparisons
    215
    Reviews
    3
    Average Words per Review
    440
    Rating
    7.7
    17th
    out of 25 in Indexing and Search
    Views
    103
    Comparisons
    34
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Comparisons
    Learn More
    IBM
    Video Not Available
    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
    Top Industries
    VISITORS READING REVIEWS
    Government17%
    Financial Services Firm15%
    Computer Software Company14%
    Retailer9%
    No Data Available
    Company Size
    VISITORS READING REVIEWS
    Small Business26%
    Midsize Enterprise10%
    Large Enterprise64%
    No Data Available
    Buyer's Guide
    Indexing and Search
    March 2024
    Find out what your peers are saying about Elastic, IBM, OpenText and others in Indexing and Search. Updated: March 2024.
    768,740 professionals have used our research since 2012.

    IBM Watson Discovery is ranked 2nd in Indexing and Search with 4 reviews while OpenText Decisiv is ranked 17th in Indexing and Search. IBM Watson Discovery is rated 7.8, while OpenText Decisiv is rated 10.0. The top reviewer of IBM Watson Discovery writes "Beneficial accuracy reports, highly scalable, and simple initial setup". On the other hand, the top reviewer of OpenText Decisiv writes "Frequent updates, highly stable, and robust". IBM Watson Discovery is most compared with Elastic Search and Microsoft FAST, whereas OpenText Decisiv is most compared with .

    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.