Compare Amazon SageMaker vs. Dataiku Data Science Studio

Cancel
You must select at least 2 products to compare!
Most Helpful Review
Find out what your peers are saying about Amazon SageMaker vs. Dataiku Data Science Studio and other solutions. Updated: September 2020.
441,850 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 few projects we have done have been promising.""They are doing a good job of evolving.""The most valuable feature of Amazon SageMaker is that you don't have to do any programming in order to perform some of your use cases.""Allows you to create API endpoints.""The deployment is very good, where you only need to press a few buttons."

More Amazon SageMaker 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."

More Dataiku Data Science Studio Pros »

Cons
"I would say the IDE is quite immature, but it is still in its infancy, so I expect it to get better over time.""I would suggest that Amazon SageMaker provide free slots to allow customers to practice, such as a free slot to try out working with a Sandbox.""AI is a new area and AWS needs to have an internship training program available.""Lacking in some machine learning pipelines.""Scalability to handle big data can be improved by making integration with networks such as Hadoop and Apache Spark easier."

More Amazon SageMaker 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."

More Dataiku Data Science Studio Cons »

Pricing and Cost Advice
"The pricing is complicated as it is based on what kind of machines you are using, the type of storage, and the kind of computation.""The support costs are 10% of the Amazon fees and it comes by default."

More Amazon SageMaker 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."

More Dataiku Data Science Studio Pricing and Cost Advice »

report
Use our free recommendation engine to learn which Data Science Platforms solutions are best for your needs.
441,850 professionals have used our research since 2012.
Questions from the Community
Top Answer: Allows you to create API endpoints.
Top Answer: The pricing for the Notebook endpoints is a bit high, but generally reasonable.
Top Answer: The product has come a long way and they've added a lot of things, but in terms of improvement I would like to probably have features such as MLflow embedded into it. Additional features I would like… more »
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: 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.
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 »
Ranking
14th
Views
10,392
Comparisons
9,138
Reviews
4
Average Words per Review
510
Avg. Rating
7.5
13th
Views
11,887
Comparisons
8,534
Reviews
4
Average Words per Review
577
Avg. Rating
8.0
Popular Comparisons
Compared 29% of the time.
Compared 8% of the time.
Compared 12% of the time.
Also Known As
AWS SageMaker, SageMakerDataiku DSS
Learn
Amazon
Dataiku
Overview

Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. Amazon SageMaker removes all the barriers that typically slow down developers who want to use machine learning.

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.

Offer
Learn more about Amazon SageMaker
Learn more about Dataiku Data Science Studio
Sample Customers
DigitalGlobe, Thomson Reuters Center for AI and Cognitive Computing, Hotels.com, GE Healthcare, Tinder, IntuitBGL BNP Paribas, Dentsu Aegis, Link Mobility Group, AramisAuto
Top Industries
VISITORS READING REVIEWS
Computer Software Company33%
Media Company20%
Comms Service Provider9%
Insurance Company5%
VISITORS READING REVIEWS
Computer Software Company33%
Comms Service Provider11%
Government8%
Financial Services Firm7%
Find out what your peers are saying about Amazon SageMaker vs. Dataiku Data Science Studio and other solutions. Updated: September 2020.
441,850 professionals have used our research since 2012.
Amazon SageMaker is ranked 14th in Data Science Platforms with 5 reviews while Dataiku Data Science Studio is ranked 13th in Data Science Platforms with 4 reviews. Amazon SageMaker is rated 7.6, while Dataiku Data Science Studio is rated 8.0. The top reviewer of Amazon SageMaker writes "A solution with great computational storage, has many pre-built models, is stable, and has good support". On the other hand, the top reviewer of Dataiku Data Science Studio writes "User interface is colorful, beautiful, and well-designed but sometimes the solution can be slow". Amazon SageMaker is most compared with Databricks, Microsoft Azure Machine Learning Studio, Domino Data Science Platform, H2O.ai and Cloudera Data Science Workbench, whereas Dataiku Data Science Studio is most compared with Alteryx, Databricks, KNIME, H2O.ai and Microsoft Azure Machine Learning Studio. See our Amazon SageMaker vs. Dataiku Data Science Studio report.

See our list of best Data Science Platforms vendors.

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.