Compare Dataiku Data Science Studio vs. IBM Watson Studio

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Most Helpful Review
Find out what your peers are saying about Dataiku Data Science Studio vs. IBM Watson Studio and other solutions. Updated: November 2020.
448,290 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 most valuable feature of this solution is that it is one tool that can do everything, and you have the ability to very easily push your design to prediction.""The most valuable feature is the set of visual data preparation tools.""I like the interface, which is probably my favorite part of the solution. It is really user-friendly for an IT person.""The solution is quite stable."

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"The solution is very easy to use.""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 scalability of IBM Watson Studio is great.""The system's ability to take a look at data, segment it and then use that data very differently.""IBM Watson Studio consistently automates across channels.""It has a lot of data connectors, which is extremely helpful."

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Cons
"The ability to have charts right from the explorer would be an improvement.""In the next release of this solution, I would like to see deep learning better integrated into the tool and not simply an extension or plugin.""I find that it is a little slow during use. It takes more time than I would expect for operations to complete.""The interface for the web app can be a bit difficult. It needs to have better capabilities, at least for developers who like to code. This is due to the fact that everything is enabled in a single window with different tabs. For them to actually develop and do the concurrent testing that needs to be done, it takes a bit of time. That is one improvement that I would like to see - from a web app developer perspective."

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"More features in data virtualization would be helpful. The solution could use an interactive dashboard that could make exploration easier.""So a better user interface could be very helpful""The decision making in their decision making feature is less good than other options.""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.""Some of the solutions are really good solutions but they can be a little too costly for many.""The initial setup was complex."

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Pricing and Cost Advice
"The annual licensing fees are approximately €20 ($22 USD) per key for the basic version and €40 ($44 USD) per key for the version with everything."

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Questions from the Community
Top Answer: I like the interface, which is probably my favorite part of the solution. It is really user-friendly for an IT person.
Top Answer: I think the interface is very nice, but for somebody who is not as familiar with IT as I am, it may be much more difficult for them. It is nice for me because I'm familiar with this type of software… more »
Top Answer: I just use the product for data migration. Once a month, I push data from one Redshift data warehouse to another Redshift data warehouse. I do that by using a simple SQL query.
Top Answer: It has a lot of data connectors, which is extremely helpful.
Top Answer: It will come down again to cost. Some of the solutions are really good solutions but they can be a little too costly for many. I think a lot of software vendors have considered having special pricing… more »
Top Answer: The initial setup was complex.
Ranking
12th
Views
12,730
Comparisons
9,077
Reviews
4
Average Words per Review
577
Avg. Rating
8.0
10th
Views
5,285
Comparisons
4,222
Reviews
5
Average Words per Review
468
Avg. Rating
8.2
Popular Comparisons
Compared 12% of the time.
Compared 5% of the time.
Compared 5% of the time.
Also Known As
Dataiku DSSWatson Studio, IBM Data Science Experience, Data Science Experience, DSx
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Dataiku
IBM
Overview

Dataiku DSS is the collaborative data science software platform for teams of data scientists, data analysts, and engineers to explore, prototype, build, and deliver their own data products more efficiently.

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 Dataiku Data Science Studio
Learn more about IBM Watson Studio
Sample Customers
BGL BNP Paribas, Dentsu Aegis, Link Mobility Group, AramisAutoGroupM, Accenture, Fifth Third Bank
Top Industries
VISITORS READING REVIEWS
Computer Software Company32%
Comms Service Provider13%
Financial Services Firm8%
Government7%
VISITORS READING REVIEWS
Computer Software Company28%
Comms Service Provider20%
Retailer6%
Financial Services Firm5%
Company Size
No Data Available
REVIEWERS
Small Business78%
Large Enterprise22%
Find out what your peers are saying about Dataiku Data Science Studio vs. IBM Watson Studio and other solutions. Updated: November 2020.
448,290 professionals have used our research since 2012.

Dataiku Data Science Studio is ranked 12th in Data Science Platforms with 4 reviews while IBM Watson Studio is ranked 10th in Data Science Platforms with 6 reviews. Dataiku Data Science Studio is rated 8.0, while IBM Watson Studio is rated 8.2. The top reviewer of Dataiku Data Science Studio writes "User interface is colorful, beautiful, and well-designed but sometimes the solution can be slow". On the other hand, the top reviewer of IBM Watson Studio writes "Machine learning that can be applicable for other data sets without having to carry out the process all over again". Dataiku Data Science Studio is most compared with Alteryx, Databricks, KNIME, Amazon SageMaker and SAS Visual Analytics, whereas IBM Watson Studio is most compared with Microsoft Azure Machine Learning Studio, IBM SPSS Modeler, Amazon SageMaker, Alteryx and Anaconda. See our Dataiku Data Science Studio vs. IBM Watson Studio report.

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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.