
RapidMiner
Board
Tableau Server
IBM SPSS Modeler
Alteryx
SAP BusinessObjects Predictive Analytics
QlikSense
SAS Advanced Analytics product suite covers data mining, statistical analysis, forecasting, text analytics, optimization and simulation.

Website, pricing, platforms and company facts side by side.
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| Website | sas.com | codegres.org |
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What each product offers, as listed by its team.


Possible disadvantages
Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
SAS Advanced Analytics is recommended for large enterprises, financial institutions, healthcare organizations, and any business sectors that require comprehensive and robust analytics solutions for data-driven decision-making. It is ideal for organizations with complex analytics needs that benefit from a scalable and integrated analytics environment.
Overall verdict
Why this product is good
Recommended for
How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using SAS Advanced Analytics and Codegres.org. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


SAS Advanced Analytics does not have pricing on their website. They have contact sheets in case a company needs to request demos, free trials, and price quotes.
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When comparing SAS Advanced Analytics and Codegres.org, you can also consider the following products.

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Unified BI, CPM and predictive analytics software.
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Tableau Server is a business intelligence application that provides browser-based analytics anyone can learn and use.
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IBM SPSS Modeler provides predictive analytics to help you uncover data patterns, gain predictive accuracy and improve decision making.
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Alteryx provides an indispensable and easy-to-use analytics platform for enterprise companies making critical decisions that drive their business strategy and growth.
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SAP Predictive Analytics software allows the user to create better and faster predictive results, deliver machine learning at scale using a factory approach and bring predictive insights where people interact _ in business processes and applications.
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