Compare Amazon SageMaker vs. Dataiku Data Science Studio

Amazon SageMaker is ranked 13th in Data Science Platforms with 2 reviews while Dataiku Data Science Studio is ranked 12th in Data Science Platforms with 4 reviews. Amazon SageMaker is rated 7.6, while Dataiku Data Science Studio is rated 7.6. 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 and Domino Data Science Platform, whereas Dataiku Data Science Studio is most compared with Alteryx, KNIME and Databricks. See our Amazon SageMaker vs. Dataiku Data Science Studio report.
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Most Helpful Review
Find out what your peers are saying about Amazon SageMaker vs. Dataiku Data Science Studio and other solutions. Updated: January 2020.
391,045 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
They are doing a good job of evolving.The few projects we have done have been promising.

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I like the interface, which is probably my favorite part of the solution. It is really user-friendly for an IT person.The most valuable feature is the set of visual data preparation tools.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.Extremely easy to use with its GUI-based functionality and large compatibility with various data sources. Also, maintenance processes are much more automated than ever, with fewer errors.Cloud-based process run helps in not keeping the systems on while processes are running.

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Cons
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.I would say the IDE is quite immature, but it is still in its infancy, so I expect it to get better over time.

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I find that it is a little slow during use. It takes more time than I would expect for operations to complete.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.The ability to have charts right from the explorer would be an improvement.Server up-time needs to be improved. Also, query engines like Spark and Hive need to be more stable.Although known for Big Data, the processing time to process 1.8 billion records was terribly slow (five days).There were stability issues: 1) SQL operations, such as partitioning, had bugs and showed wrong results. 2) Due to server downtime, scheduled processes used to fail. 3) Access to project folders was compromised (privacy issue) with wrong people getting access to confidential project folders.

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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.

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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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report
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Ranking
13th
Views
5,586
Comparisons
5,163
Reviews
2
Average Words per Review
517
Avg. Rating
7.5
12th
Views
7,866
Comparisons
5,723
Reviews
4
Average Words per Review
493
Avg. Rating
7.5
Top Comparisons
Compared 30% of the time.
Compared 14% of the time.
Also Known As
AWS SageMaker, SageMakerDataiku DSS
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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
Software R&D Company34%
Media Company15%
Comms Service Provider9%
Retailer8%
VISITORS READING REVIEWS
Software R&D Company30%
Financial Services Firm16%
Comms Service Provider7%
Manufacturing Company5%
Find out what your peers are saying about Amazon SageMaker vs. Dataiku Data Science Studio and other solutions. Updated: January 2020.
391,045 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.