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IBM Watson Explorer vs Tableau Enterprise 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

IBM Watson Explorer
Average Rating
8.4
Reviews Sentiment
6.3
Number of Reviews
10
Ranking in other categories
Data Mining (10th)
Tableau Enterprise
Average Rating
8.4
Reviews Sentiment
6.1
Number of Reviews
309
Ranking in other categories
BI (Business Intelligence) Tools (2nd), Reporting (2nd), Data Visualization (1st), Embedded BI (1st)
 

Mindshare comparison

While both are Business Intelligence solutions, they serve different purposes. IBM Watson Explorer is designed for Data Mining and holds a mindshare of 2.9%, up 0.5% compared to last year.
Tableau Enterprise, on the other hand, focuses on BI (Business Intelligence) Tools, holds 6.7% mindshare, down 18.3% since last year.
Data Mining Mindshare Distribution
ProductMindshare (%)
IBM Watson Explorer2.9%
IBM SPSS Modeler18.9%
IBM SPSS Statistics18.3%
Other59.900000000000006%
Data Mining
BI (Business Intelligence) Tools Mindshare Distribution
ProductMindshare (%)
Tableau Enterprise6.7%
Microsoft Power BI9.3%
Amazon QuickSight3.7%
Other80.3%
BI (Business Intelligence) Tools
 

Featured Reviews

it_user1319820 - PeerSpot reviewer
Lead Engineer at a computer software company with 10,001+ employees
A data analysis tool that is scalable and includes keyword search functionality
The solution is used for a government company for data collection and analysis 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. I have been using the solution for five…
Uzair Faruqi - PeerSpot reviewer
Head Of Data Science at Mjunction Services
Ease of developing dashboards and receiving strong technical support have enabled efficient data visualization
Introducing custom features, such as NLP-based reports, is not very good in Tableau. My MD has been asking us for a way to write in natural language to request reports that the system should generate, but that isn't very effective with Tableau. As a developer, I can develop an on-demand report in Python quite easily, but exposing a REST API on the Tableau platform is not a very easy task. AI enablement is an area for improvement for Tableau, and that is something they might have to work upon. I have heard that ThoughtSpot is quite better in this regard, but the cost of ThoughtSpot is much higher. ThoughtSpot has lots of natural language-based report generation features that Tableau lacks.

Quotes from Members

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

Pros

"What impressed me more about Watson is that it is easy to use it, not for the technical people, but for business people."
"The main use case is FAQ for the user; it works for almost 80% of the use case coverage."
"IBM has been working with Bradesco since 1968, I think, and the support is very good, with a team of 10 IBM employees working every day, 24 hours, inside the bank in Sao Paolo."
"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."
"Implementing the solution really helped with manual labor, it takes care of a lot of FT work."
"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."
"I really can't talk enough about the team."
"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."
"It allows us to basically understand and evaluate our numbers in an expedient manner."
"It has a shallow learning curve and so you can go to market very, very, very quickly."
"Dynamic interactive visualisation and publishing to server for distribution are the most valuable features of this product."
"The most valuable features are the ability to use various data sets from different platforms, the intuitive graphs, and the ability to play around with the data and graph selections for different views of the data."
"It's easy to use."
"Self-service: Its ease of use means Tableau can be operated by business users."
"The most important feature in Tableau is visual analytics."
"I really like the user-friendly (usability, user experience) layout of Tableau."
 

Cons

"Sometimes the service stops."
"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."
"I think we'll get it to a 10, but I think at the moment it's got to be a good eight or nine out of 10 at least."
"Stability is actually one of the areas that could use improvement. Setting it up is always tough; setting Explorer requires experts, and the underlying platform is not that stable, so it really needs a good expert to keep it running."
"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 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."
"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"
"In the cloud sometimes the performance is a little bit slow."
"The charting is overly complex in comparison with Power BI's"
"I take a long time to process the hundreds of thousands or millions of records that must be processed every day."
"It felt a bit slow."
"The integration and usage of multiple data sources is sometimes not that straightforward."
"Navigating through activities like cleansing, reshaping, and wrangling extensive or complicated datasets could prove challenging within the Tableau environment."
"The forecasting feature in Tableau in my view is too limited because it must have dates but I should be able to predict the outcome of an event without having a date as part of the input."
"We were not able to implement organization-wide security the way it exists in BO or OBIEE."
 

Pricing and Cost Advice

"The solution is expensive."
"The pricing is $70 per month. You have to pay about $800 or something in that ballpark annually for one license."
"Tableau's licensing is pretty straightforward and simple."
"It is expensive when you compare it with Power BI. It should be cheaper."
"Its cost is quite high. A corporate license costs about 150-200K per year for all the users, but there was probably some discounted amount. This cost includes everything."
"ROI is very high, but it requires a data preparation/blending tool."
"The pricing of Tableau should be better to remain competitive in the market, especially when compared to alternatives."
"The solution is expensive but it depends on the customer's needs which will determine the cost of the licensing."
"In general, if someone is new and wants to learn Tableau, it's around $70 per month."
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Comparison Review

it_user6330 - PeerSpot reviewer
Product Manager at a retailer with 10,001+ employees
May 2, 2013
MicroStrategy vs. Tableau
After a recent presentation, several attendees asked me about the applications of Visual Insights and Tableau. Many companies are investing in both tools and are trying to figure out the right tool for specific applications Tableau has found its sweet-spot as an agile discovery tool that analysts…
 

Top Industries

By visitors reading reviews
Performing Arts
12%
University
11%
Recreational Facilities/Services Company
9%
Healthcare Company
9%
Financial Services Firm
13%
Computer Software Company
9%
Manufacturing Company
9%
University
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise2
Large Enterprise7
By reviewers
Company SizeCount
Small Business117
Midsize Enterprise67
Large Enterprise184
 

Questions from the Community

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Seeking lightweight open source BI software
It depends on the Data architecture and the complexity of your requirement. Some great tools in the market are Qlik Sense, Power BI, OBIEE, Tableau, etc. I have recently started using Cognos Enter...
Tableau vs. Business Objects - Which is a better solution for visualization and analysis?
Both tools have their positives and negatives. First, I should mention that I am relatively new to Tableau. I have been working on and off Tableau for about a year, but getting to work on it consta...
Which would you choose - Tableau or SAP Analytics Cloud?
Tableau is easy to set up and maintain. In about a day it is possible for the entire platform to be deployed for use. This relatively short amount of time can make all the difference for companies ...
 

Also Known As

IBM WEX
Tableau Desktop, Tableau Server, Tableau Online
 

Overview

 

Sample Customers

RIMAC, Westpac New Zealand, Toyota Financial Services, Swiss Re, Akershus University Hospital, Korean Air Lines, Mizuho Bank, Honda
Accenture, 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.
Find out what your peers are saying about IBM Watson Explorer vs. Tableau Enterprise and other solutions. Updated: March 2020.
884,933 professionals have used our research since 2012.