Compare IBM Watson Explorer vs. Tableau

IBM Watson Explorer is ranked 14th in Business Intelligence (BI) Tools with 9 reviews while Tableau is ranked 1st in Business Intelligence (BI) Tools with 28 reviews. IBM Watson Explorer is rated 8.2, while Tableau is rated 8.4. The top reviewer of IBM Watson Explorer writes "Facilitates utilizing data streams that we haven't tapped into, and producing results that are tremendously useful, company-wide". On the other hand, the top reviewer of Tableau writes "The visualizations bring out patterns buried under a mountain of data. The tool offers unparalleled flexibility in terms of the types of visualisation that one can create". IBM Watson Explorer is most compared with SAS Analytics, IBM SPSS Modeler and IBM Cognos, whereas Tableau is most compared with SAS Visual Analytics, Qlik Sense and Oracle OBIEE. See our IBM Watson Explorer vs. Tableau report.
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IBM Watson Explorer Logo
1,424 views|700 comparisons
Tableau Logo
73,168 views|60,787 comparisons
Most Helpful Review
Find out what your peers are saying about IBM Watson Explorer vs. Tableau and other solutions. Updated: November 2019.
383,162 professionals have used our research since 2012.
Quotes From Members

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

Pros
The valuable feature of Watson Explorer for us is data entities, and to see the hidden insights from within unstructured data.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.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.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.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.

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​Data is easily understood at all levels of the company.Business insights are shared across various departments.Its ease of use and ability to convert drag and drop gestures into queries.The ability to create complex calculations.​Its ease of use and ability to convert drag and drop gestures into queries.Tableau's support could improve.Partner support is very good.This solution has improved insights into quantitative data.

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Cons
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 dictionaryIt needs better language support, to include some other languages. Also, they should improve the user interface.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.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.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.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 themselvesSmall 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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​Conditional formatting could be an interesting feature to provide to final users.The data preparation/blending options are very basic. They could be improved.Tableau is a company that does not respect partners.Reports should be downloadable as PDF files.I would like Tableau to handle geospatial data better in terms of multiple layers and shapefiles.The SQL programming functionality needs to be improved.Licensing and pricing options could be made better so that more users would be able to use it.The performance could be better.

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Pricing and Cost Advice
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Tableau's licensing is pretty straightforward and simple.ROI is very high, but it requires a data preparation/blending tool.The cost of the solution should be improved.Be careful with the Tableau Viewer's licenses, and stay with the right number of users.The initial cost that is set according to CPU cores is expensive.We always consider pricing when considering a new solution. We are a non-profit and price is a huge concern.Tableau is an expensive solution, though it comes with its advantages.The price could be higher for the quality of software, so they revised the pricing in this version, and I agree with the price for top version. The top version costs about $70 per month, and the price is cheap for the quality.

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report
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Ranking
Views
1,424
Comparisons
700
Reviews
9
Average Words per Review
477
Avg. Rating
8.1
Views
73,168
Comparisons
60,787
Reviews
28
Average Words per Review
394
Avg. Rating
8.5
Top Comparisons
Compared 28% of the time.
Compared 15% of the time.
Compared 8% of the time.
Compared 8% of the time.
Compared 7% of the time.
Also Known As
IBM WEXTableau Desktop, Tableau Server, Tableau Online
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IBM
Tableau
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.

Tableau helps people and organizations become more data-driven as the trusted leader in analytics.

The Tableau platform provides the breadth and depth of capabilities to serve the needs of even the largest global enterprises in a seamless, integrated experience. Tableau is designed to fit, not dictate your data strategy, and adapts to your environment with unmatched flexibility and choice, while meeting the toughest governance and security requirements.

People love using Tableau because it is both powerful and intuitive—and offers a fundamentally different user experience by empowering people of all skill levels to explore and analyze data using visuals and natural language. Tableau has become the standard language of analytics for modern business users and continues to lead the industry with the most passionate and engaged user community in analytics, a customer base with millions of users at more than 80,000 organizations, and a deep commitment to customer-focused innovation

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Sample Customers
RIMAC, Westpac New Zealand, Toyota Financial Services, Swiss Re, Akershus University Hospital, Korean Air Lines, Mizuho Bank, HondaAccenture, Adobe, Amazon.com, Bank of America, Charles Schwab Corp, Citigroup, Coca-Cola Company, Cornell University, Dell, Deloitte, Duke University, eBay, Exxon Mobil, Fannie Mae, Ferrari, French Red Cross, Goldman Sachs, Google, Government of Canada, HP, Intel, Johns Hopkins Hospital, Macy's, Merck, The New York Times, PayPal, Pfizer, US Army, US Air Force, Skype, and Walmart.
Top Industries
No Data Available
REVIEWERS
Financial Services Firm14%
University9%
Healthcare Company8%
Manufacturing Company8%
VISITORS READING REVIEWS
Software R&D Company20%
Financial Services Firm13%
Comms Service Provider8%
Healthcare Company8%
Company Size
REVIEWERS
Small Business20%
Midsize Enterprise20%
Large Enterprise60%
REVIEWERS
Small Business25%
Midsize Enterprise21%
Large Enterprise55%
VISITORS READING REVIEWS
Small Business26%
Midsize Enterprise8%
Large Enterprise67%
Find out what your peers are saying about IBM Watson Explorer vs. Tableau and other solutions. Updated: November 2019.
383,162 professionals have used our research since 2012.
We monitor all Business Intelligence (BI) Tools 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.
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