Compare Alteryx vs. IBM Watson Studio

Alteryx is ranked 1st in Data Science Platforms with 13 reviews while IBM Watson Studio is ranked 9th in Data Science Platforms with 6 reviews. Alteryx is rated 9.0, while IBM Watson Studio is rated 8.4. The top reviewer of Alteryx writes "Does a good job of end-to-end integration as well as accessing data from multiple sources or email modes". On the other hand, the top reviewer of IBM Watson Studio writes "It has greatly improved the performance because it is standardized across the company". Alteryx is most compared with KNIME, Dataiku Data Science Studio and Microsoft BI, whereas IBM Watson Studio is most compared with IBM SPSS Modeler, Microsoft Azure Machine Learning Studio and Amazon SageMaker. See our Alteryx vs. IBM Watson Studio report.
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Alteryx Logo
29,008 views|22,939 comparisons
IBM Watson Studio Logo
4,270 views|3,271 comparisons
Most Helpful Review
Find out what your peers are saying about Alteryx vs. IBM Watson Studio and other solutions. Updated: January 2020.
389,978 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 ease-of-use allows non-technical business users to directly create their own solutions without the use of additional development resources.This is a drag-and-drop tool which is easy-to-use and yet can be customized by creating your own components.The solution offers excellent predicting power. The accuracy and confidence have been great.The product is very stable and super fast, five-star. It's significantly more stable than it's nearest competitor.Alteryx is so advanced. It's just drag and drop.Shortens the time required to start analyzing data and looking for insights, minimizing the tasks that do not add value to the business and maximizing the analysis phase.Alteryx speeds up the time to obtain business answers/insights on data.It is one of the most complete and great customer service that I experienced with a software company/ecosystem.

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The system's ability to take a look at data, segment it and then use that data very differently.The scalability of IBM Watson Studio is great.The most important thing is that it's a multi-faceted solution. It's a kind of specialist, not a generalist. It can produce very specific information for the customer. It's totally different from Google or any search engine that produces generic information. It's specialty is that it's all on video.The solution is very easy to use.It is a stable, reliable product.Technical support is great. We have had weekly teleconferences with the technical people at IBM, and they have been fantastic.The main benefit is the ease of use. We see a lot of engineers in our site and customers that really like the way the tools are able to work with the people.It has greatly improved the performance because it is standardized across the company.

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Cons
There is currently no cloud solution and this would be valuable for many clients.The GUI interface functions but it could stand to be updated to a more modern look and feel.The solution could work on the BI side of the tool to make it a bit better.The only area where the product lags is documentation and videos on the analytical app and the batch macro.It would be great if Alteryx could take third party tools and incorporate them.Even when it already includes some AI models, this area could be improved.It would be great to create the final users' visualization within Alteryx.The event handling, such that the file system watcher, is in need of improvement.

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It's sometimes easy to get lost given the number of images the solution opens up when you click on the mouse and the amount of different tabs.The decision making in their decision making feature is less good than other options.So a better user interface could be very helpfulMore features in data virtualization would be helpful. The solution could use an interactive dashboard that could make exploration easier.We would like to see it more web-based with more functionality.We would like to see it less as one big, massive product, but more based on smaller services that we can then roll out to consumers.Initially, it was quite complex. For us, it was not only a matter of getting it installed, that was just a start. It was also trying to come up with a standard way of implementing it across the entire organization, which had been a challenge.

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Pricing and Cost Advice
We have a yearly cost that we pay for the licensing. We do not pay any costs in addition to the licensing fees.The pricing is $5000 per year per production license.Opt for the three year subscription. It is 20% less than the yearly one.ROI is huge. There are some secondary benefits, like analysts getting their post 5 PM time back or the ability to shorten all closing processes to a half or less.It is $4,000 a year, so it is cheap versus other solutions. It also accomplishes three times the volume on the job in the same time (as the other solutions).‚ÄčIt can be a bit pricey, especially after the first year.

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report
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389,978 professionals have used our research since 2012.
Ranking
1st
Views
29,008
Comparisons
22,939
Reviews
14
Average Words per Review
392
Avg. Rating
8.9
9th
Views
4,270
Comparisons
3,271
Reviews
5
Average Words per Review
456
Avg. Rating
8.2
Top Comparisons
Compared 30% of the time.
Compared 6% of the time.
Also Known As
Watson Studio, IBM Data Science Experience, Data Science Experience, DSx
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Alteryx
IBM
Overview

Alteryx is a self-service data analytics solution, that provides a platform that can prep, blend, and analyze all of your data, then deploy and share analytics in hours. It can automate time-consuming and manual data tasks while performing predictive, statistical, and spatial analytics in the same workflow. It uses a drag and drop tool with an intuitive user interface with no coding and programming required. Alteryx licenses are subscription-based and include all product updates and support to their customers.

IBM Watson Studio provides tools for data scientists, application developers and subject matter experts to collaboratively and easily work with data to build and train models at scale. It gives you the flexibility to build models where your data resides and deploy anywhere in a hybrid environment so you can operationalize data science faster.

Offer
Learn more about Alteryx
Learn more about IBM Watson Studio
Sample Customers
AnalyticsIq Inc., belk, BloominBrands Inc., Cardinalhealth, Cineplex, Dairy QueenGroupM, Accenture, Fifth Third Bank
Top Industries
REVIEWERS
Software R&D Company17%
Non Tech Company17%
Financial Services Firm8%
University8%
VISITORS READING REVIEWS
Software R&D Company23%
Financial Services Firm15%
Comms Service Provider10%
Manufacturing Company9%
VISITORS READING REVIEWS
Software R&D Company39%
Retailer11%
Comms Service Provider8%
Media Company5%
Company Size
REVIEWERS
Small Business50%
Midsize Enterprise15%
Large Enterprise35%
VISITORS READING REVIEWS
Small Business14%
Midsize Enterprise10%
Large Enterprise76%
REVIEWERS
Small Business86%
Large Enterprise14%
Find out what your peers are saying about Alteryx vs. IBM Watson Studio and other solutions. Updated: January 2020.
389,978 professionals have used our research since 2012.
We monitor all Data Science Platforms 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.