IBM Watson Explorer vs Teradata Vantage comparison

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103 views|79 comparisons
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566 views|397 comparisons
100% willing to recommend
Executive Summary

We performed a comparison between IBM Watson Explorer and Teradata Vantage based on real PeerSpot user reviews.

Find out in this report how the two Data Mining solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed IBM Watson Explorer vs. Teradata Vantage Report (Updated: March 2020).
767,847 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The ability to easily pull together lots of different pieces of information and drill down in a smarter way than has been possible with other analytics tools is key. Watson is all based on a set of AI and deep learning, machine-learning capabilities, and it is looking behind the scenes at some relationships that you likely would not have spotted on your own. It's pulling things together, categorizing some things, that are not something that you might have seen on your own.""Ease of use is pretty good as is the standardization of not actually having to have my own natural learning algorithms, just to use the Watson APIs.""The valuable feature of Watson Explorer for us is data entities, and to see the hidden insights from within unstructured data.""I have found the auto-generated document very useful as well as the main keywords that are highlighted, which are used for the search functionality within IBM Watson Explorer.""For me, as a user, the most valuable feature is the ability to ingest and then retrieve information from a range of separate sources; the ability to dissect questions in context and actually answer them.""We take natural language that was happening in our repositories and our application and then feed it to the Watson APIs. We receive JSON payloads as an API response to get cognitive feedback from the repository data."

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"I like writing preformance queries for preprocessing on AWS Cloud.""It is quick, secure, and has less hassles because we don't have to involve our networking team, infrastructure, etc. It is very easy to deploy and make market ready."

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Cons
"It needs better language support, to include some other languages. Also, they should improve the user interface.""The solution is expensive.""It is a little bit tricky to get used to the workflow of knowing how to train Watson, what can be provided, what can't be, how to provide it, how to import, export, and what it means every time you have to add a new dictionary""Stability is actually one of the areas that could use improvement. Setting it up is always tough. Setting Explorer requires experts, but also the underlying platform is not that stable. So it really needs a good expert to keep it running.""Much of IBM operates this way, where they have sets of tools that are in the middleware space, and it becomes the customer's responsibility or the business partner's responsibility to develop full solutions that take advantage of that middleware. I think IBM's finding itself in that spot with Watson-related technologies as well, where the capabilities to do really interesting and useful things for customers is there, but somebody still has to build it. Is that going to be the customer? Are they going to be willing to take on that responsibility themselves""I would say, give some kind of a community edition, a free edition. A lot of companies do, even Amazon gives you some kind of trial and error opportunities. If they could provide something like that, it would be good.""More cognitive feedback would be good. The natural language analysis is great, the sentiment analyzers are great. But I would just like to see more... innovation done with the Watson platform.""Small businesses will probably have a little harder time getting into it, just because of the amount of resources that they have available, both financial and time, but it really is a solution that should work for them."

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"I would like more security and speed.""I would like more security and speed."

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Pricing and Cost Advice
  • "We had a lot of parties involved when purchasing from the AWS Marketplace. They are very flexible and aggressive in trying to close the deal. They are good at what they have to offer and listening to the customer. It's a two-way street."
  • "In this day and age, we want to get things done quickly. So, we go to the AWS Marketplace."
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    Top Answer:Both Teradata Vantage and Azure Data Factory are great data tools, but they have different strengths and weaknesses, as mentioned below Teradata Vantage Pros: Very powerful and scalable… more »
    Ranking
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    Buyer's Guide
    IBM Watson Explorer vs. Teradata Vantage
    March 2020
    Find out what your peers are saying about IBM Watson Explorer vs. Teradata Vantage and other solutions. Updated: March 2020.
    767,847 professionals have used our research since 2012.
    Comparisons
    Also Known As
    IBM WEX
    Learn More
    Overview

    IBM Watson Explorer is a cognitive exploration and content analysis platform that lets you listen to your data for advice. Explore and analyze structured, unstructured, internal, external and public content to uncover trends and patterns that improve decision-making, customer service and ROI. Leverage built-in cognitive capabilities powered by machine learning models, natural language processing and next-generation APIs to unlock hidden value in all your data. Gain a secure 360-degree view of customers, in context, to deliver better experiences for your clients.

    Teradata Vantage is a powerful analytics platform that enables organizations to analyze large volumes of data quickly and efficiently. It helps organizations make data-driven decisions by giving them insights into their data. 

    The most useful functionality of the solution is its ability to integrate multiple data sources and provide a unified view of the data, allowing organizations to gain a comprehensive understanding of their data and make informed decisions. Overall, Teradata Vantage helps organizations improve their decision-making processes, increase operational efficiency, and drive business growth.

    Sample Customers
    RIMAC, Westpac New Zealand, Toyota Financial Services, Swiss Re, Akershus University Hospital, Korean Air Lines, Mizuho Bank, Honda
    Information Not Available
    Top Industries
    VISITORS READING REVIEWS
    Computer Software Company18%
    Educational Organization9%
    Financial Services Firm9%
    Government9%
    VISITORS READING REVIEWS
    Financial Services Firm17%
    Computer Software Company12%
    Healthcare Company10%
    Manufacturing Company9%
    Company Size
    REVIEWERS
    Small Business18%
    Midsize Enterprise18%
    Large Enterprise64%
    VISITORS READING REVIEWS
    Small Business26%
    Midsize Enterprise11%
    Large Enterprise64%
    VISITORS READING REVIEWS
    Small Business14%
    Midsize Enterprise7%
    Large Enterprise79%
    Buyer's Guide
    IBM Watson Explorer vs. Teradata Vantage
    March 2020
    Find out what your peers are saying about IBM Watson Explorer vs. Teradata Vantage and other solutions. Updated: March 2020.
    767,847 professionals have used our research since 2012.

    IBM Watson Explorer is ranked 9th in Data Mining while Teradata Vantage is ranked 30th in BI (Business Intelligence) Tools. IBM Watson Explorer is rated 8.4, while Teradata Vantage is rated 8.0. The top reviewer of IBM Watson Explorer writes "Ingests, retrieves information from a range of sources; enables dissecting questions in context and answering them". On the other hand, the top reviewer of Teradata Vantage writes "It helps us with connectivity and making sure the data is secure". IBM Watson Explorer is most compared with Salesforce Einstein Analytics, Microsoft Power BI and Tableau, whereas Teradata Vantage is most compared with Teradata Data Lab, SAP BusinessObjects Business Intelligence Platform and Microsoft Power BI. See our IBM Watson Explorer vs. Teradata Vantage report.

    We monitor all Data Mining 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.