Compare SAS Enterprise Miner vs. TIBCO Spotfire Data Science

SAS Enterprise Miner is ranked 10th in Data Science Platforms with 8 reviews while TIBCO Spotfire Data Science is ranked 16th in Data Science Platforms with 4 reviews. SAS Enterprise Miner is rated 7.8, while TIBCO Spotfire Data Science is rated 7.6. The top reviewer of SAS Enterprise Miner writes "Good GUI, an easy initial setup, and very flexible". On the other hand, the top reviewer of TIBCO Spotfire Data Science writes "A straightforward initial setup and good reporting but needs better documentation". SAS Enterprise Miner is most compared with IBM SPSS Modeler, RapidMiner, SAS Visual Analytics, KNIME and Amazon SageMaker, whereas TIBCO Spotfire Data Science is most compared with TIBCO Statistica, Dataiku Data Science Studio, Amazon SageMaker, MathWorks Matlab and IBM SPSS Statistics. See our SAS Enterprise Miner vs. TIBCO Spotfire Data Science report.
You must select at least 2 products to compare!
Most Helpful Review
Use TIBCO Spotfire Data Science? Share your opinion.
Find out what your peers are saying about SAS Enterprise Miner vs. TIBCO Spotfire Data Science and other solutions. Updated: July 2020.
430,376 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:

The solution is able to handle quite large amounts of data beautifully.Good data management and analytics.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.

More SAS Enterprise Miner Pros »

The most valuable feature is the performance.The most valuable feature is the ease of setting up visualizations.We like the way we can drill down into each report to get back data on each project. From the portfolio level, I can see what is happening on it. That is a really important feature. I can look at indirect costs, for example, which are hitting each CIO portfolio. It's good to be able to see actual resources in terms of time as well as cost.The idea that you don't have to generate reports each day but they are sent automatically is great.

More TIBCO Spotfire Data Science Pros »

While I don't personally need tutorials, I can't say that it wouldn't be helpful for others to have some to help them navigate and operate the system.Technical support could be improved.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.

More SAS Enterprise Miner Cons »

The scripting for customization could be improved.I would like the visualization for the map of countries to be more easily configurable.In terms of performance, I can see there are some issues when you are working with big data. When we are taking it from the Data Lake, we have a lot of issues.Additional templates would help to get things moving more quickly in terms of getting the reports out.

More TIBCO Spotfire Data Science Cons »

Pricing and Cost Advice
This solution is for large corporations because not everybody can afford it.

More SAS Enterprise Miner Pricing and Cost Advice »

Information Not Available
Use our free recommendation engine to learn which Data Science Platforms solutions are best for your needs.
430,376 professionals have used our research since 2012.
Average Words per Review
Avg. Rating
Average Words per Review
Avg. Rating
Popular Comparisons
Compared 13% of the time.
Compared 7% of the time.
Also Known As
Enterprise MinerAlpine Data Chorus
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.

TIBCO Spotfire Data Science is an enterprise big data analytics platform that can help your organization become a digital leader. The collaborative user-interface allows data scientists, data engineers, and business users to work together on data science projects. These cross-functional teams can build machine learning workflows in an intuitive web interface with a minimum of code, while still leveraging the power of big data platforms.

Learn more about SAS Enterprise Miner
Learn more about TIBCO Spotfire Data Science
Sample Customers
Generali Hellas, Gitanjali Group, Gloucestershire Constabulary, GS Home Shopping, HealthPartners, IAG New Zealand, iJET, InvacareHavas Media, Tipping Point Community, eviCore
Top Industries
Computer Software Company34%
Media Company11%
Insurance Company8%
Financial Services Firm7%
No Data Available
Find out what your peers are saying about SAS Enterprise Miner vs. TIBCO Spotfire Data Science and other solutions. Updated: July 2020.
430,376 professionals have used our research since 2012.

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.