Compare Dataiku Data Science Studio vs. SAS Enterprise Miner

Dataiku Data Science Studio is ranked 13th in Data Science Platforms with 4 reviews while SAS Enterprise Miner is ranked 12th in Data Science Platforms with 6 reviews. Dataiku Data Science Studio is rated 7.6, while SAS Enterprise Miner is rated 7.6. 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 SAS Enterprise Miner writes "Good stability, very good data analysis tool pack and excellent documentation". Dataiku Data Science Studio is most compared with Alteryx, KNIME and Databricks, whereas SAS Enterprise Miner is most compared with IBM SPSS Modeler, RapidMiner and KNIME. See our Dataiku Data Science Studio vs. SAS Enterprise Miner report.
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Most Helpful Review
Find out what your peers are saying about Dataiku Data Science Studio vs. SAS Enterprise Miner and other solutions. Updated: January 2020.
398,050 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
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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The most valuable feature is that you can use multiple algorithms for creating models and then you can compare the results between them.The most valuable feature is the decision tree creation.Most of the features, especially on the data analysis tool pack, are really good. The way they do clustering and output is great. You can do fairly elaborate outputs. The results, the ensembles, all of these, are fantastic.he solution is scalable.The solution is very good for data mining or any mining issues.The setup is straightforward. Deployment doesn't take more than 30 minutes.

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Cons
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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The visualization of the models is not very attractive, so the graphics should be improved.The ease of use can be improved. When you are new it seems a bit complex.Virtualization could be much better.The solution needs an easier interface for the user. The user experience isn't so easy for our clients.The solution is very stable, but we do have some problems with discrepancies involving SAS not matching with the latest Java versions. It's not stable in cases where SAS tries to run on a different version because SAS doesn't connect with the latest Java update. Once a month we need to restart systems from scratch.The user interface of the solution needs improvement. It needs to be more visual.

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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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This solution is for large corporations because not everybody can afford it.

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Ranking
13th
Views
8,249
Comparisons
5,990
Reviews
4
Average Words per Review
493
Avg. Rating
7.5
12th
Views
4,615
Comparisons
3,486
Reviews
5
Average Words per Review
375
Avg. Rating
7.4
Top Comparisons
Compared 13% of the time.
Compared 12% of the time.
Compared 8% of the time.
Also Known As
Dataiku DSSEnterprise Miner
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Dataiku
SAS
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.

SAS Enterprise Miner is a solution to create accurate predictive and descriptive models on large volumes of data across different sources in the organization. SAS Enterprise Miner offers many features and functionalities for the business analysts to model their data. Some of the business applications are for detecting fraud, minimizing risk, resource demands, reducing asset downtime, campaigns and reduce customer attrition.
Offer
Learn more about Dataiku Data Science Studio
Learn more about SAS Enterprise Miner
Sample Customers
BGL BNP Paribas, Dentsu Aegis, Link Mobility Group, AramisAutoGenerali Hellas, Gitanjali Group, Gloucestershire Constabulary, GS Home Shopping, HealthPartners, IAG New Zealand, iJET, Invacare
Top Industries
VISITORS READING REVIEWS
Software R&D Company27%
Financial Services Firm16%
Comms Service Provider14%
Media Company7%
No Data Available
Find out what your peers are saying about Dataiku Data Science Studio vs. SAS Enterprise Miner and other solutions. Updated: January 2020.
398,050 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.