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Alteryx vs IBM Watson Explorer 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

Alteryx
Average Rating
8.4
Reviews Sentiment
7.0
Number of Reviews
84
Ranking in other categories
Predictive Analytics (1st), Data Science Platforms (6th), Data Preparation Tools (1st)
IBM Watson Explorer
Average Rating
8.4
Reviews Sentiment
6.3
Number of Reviews
10
Ranking in other categories
Data Mining (9th)
 

Mindshare comparison

While both are Business Intelligence solutions, they serve different purposes. Alteryx is designed for Predictive Analytics and holds a mindshare of 7.6%, down 23.0% compared to last year.
IBM Watson Explorer, on the other hand, focuses on Data Mining, holds 2.8% mindshare, up 0.6% since last year.
Predictive Analytics Market Share Distribution
ProductMarket Share (%)
Alteryx7.6%
Anaplan7.3%
SAP Analytics Cloud6.9%
Other78.2%
Predictive Analytics
Data Mining Market Share Distribution
ProductMarket Share (%)
IBM Watson Explorer2.8%
IBM SPSS Modeler19.1%
IBM SPSS Statistics18.5%
Other59.599999999999994%
Data Mining
 

Featured Reviews

Rajneesh Prajapati - PeerSpot reviewer
Senior Rpa Consultant at Accely Consulting
Time-saving workflows have transformed data preparation and predictive analysis for my team
Some of the best features Alteryx offers are its no and low-code capabilities. It delivers massive time-saving and includes spatial and predictive analysis. Alteryx includes built-in tools such as drive time analysis and linear regression, which are much harder to achieve in standard BI tools such as Power BI or Tableau. In addition to these features, Alteryx provides built-in spatial tools that can calculate drive time and location-based insights with minimal effort through drag-and-drop spatial tools, low complex coding, faster, and more accurate results. Linear regression predicts sales based on marketing spend, estimates costs based on usage, and identifies trends in historical data. Alteryx has positively impacted my organization by saving time, improving accuracy, and enabling better decision-making. Using Alteryx, complex tasks such as data cleansing, joining datasets, drive time analysis, and linear regression can be done much faster compared to manual Excel or SQL work. This reduces dependency on manual effort and lowers the risk of human error. Drive time analysis helps my organization make better location-based decisions, such as identifying optimal service areas or improving customer reach.
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…

Quotes from Members

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

Pros

"The most valuable feature of Alteryx is its unlimited handling capabilities."
"The drag-and-drop features are useful for data scientists who do not like to code because it is already in the system."
"I found Alteryx's ability to modify data on the fly, using in-memory processing, very useful."
"The cloud deployment ensures it scales easily."
"There are a lot of good customization capabilities."
"The product's most valuable features include its ease of use for non-technical users and machine learning capabilities."
"The most valuable feature of Alteryx is its performance. It is a powerful solution."
"I like the fact that you can easily blend data from different platforms."
"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."
"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."
"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."
"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 valuable feature of Watson Explorer for us is data entities, and to see the hidden insights from within unstructured data."
 

Cons

"Deep learning models are not currently supported."
"The workflow and pipeline need to improve."
"The price of the solution could improve by being lower."
"It is a little bit pricey."
"Even when it already includes some AI models, this area could be improved."
"The tool could include more native connectors, such as for global ERPs, instead of requiring additional fees for these connections."
"The event handling, such that the file system watcher, is in need of improvement."
"The technical support could have a little bit of improvement."
"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."
"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"
"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."
"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."
"The solution is expensive."
"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"
"It needs better language support, to include some other languages. Also, they should improve the user interface."
 

Pricing and Cost Advice

"While it offers extensive features, including predictive analytics, for those who mainly use it for data preparation and blending, the cost can be prohibitive."
"Alteryx is an expensive solution."
"We have a yearly cost that we pay for the licensing. We do not pay any costs in addition to the licensing fees."
"It's very expensive. I'd rate it a four out of ten in terms of the price. It's great for big companies but not for small companies."
"Its price should be lower. The key thing that we see is that talking about ROI is an important element at the time of purchase. Cost becomes a factor in every discussion. Justifying the ROI for these kinds of workflows is always a challenge, and the only way to counter the challenge is by addressing the pricing."
"The cost of the solution could be reduced."
"It can be a bit pricey, especially after the first year."
"The pricing is $5000 per year per production license."
"The solution is expensive."
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Top Industries

By visitors reading reviews
Financial Services Firm
21%
Manufacturing Company
9%
Computer Software Company
7%
Retailer
5%
Performing Arts
12%
University
10%
Educational Organization
8%
Recreational Facilities/Services Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business32
Midsize Enterprise15
Large Enterprise53
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise2
Large Enterprise7
 

Questions from the Community

What is the Biggest Difference Between Alteryx and IBM SPSS Modeler?
One of the differences is that with Alteryx you can use it as an ETL and analytics tool. Please connect with me directly if you want to know more.
What is the Biggest Difference Between Alteryx and IBM SPSS Modeler?
Alteryx is an extremely easy and flexible data tool, flexible in terms of drag and drop toolset and also has python, R integrations if your team requires this. It can handle over 2 billion rows of...
What is the Biggest Difference Between Alteryx and IBM SPSS Modeler?
I am not familiar with IBM SPSS Modeler, therefore, I cannot compare these two products. Regarding Alteryx I can say the following: - An excellent desktop tool for Data Prep and analytics. - Featu...
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Also Known As

No data available
IBM WEX
 

Overview

 

Sample Customers

AnalyticsIq Inc., belk, BloominBrands Inc., Cardinalhealth, Cineplex, Dairy Queen
RIMAC, Westpac New Zealand, Toyota Financial Services, Swiss Re, Akershus University Hospital, Korean Air Lines, Mizuho Bank, Honda
Find out what your peers are saying about Alteryx vs. IBM Watson Explorer and other solutions. Updated: March 2020.
881,733 professionals have used our research since 2012.