
RStudio
IBM SPSS Statistics
RapidMiner
Stata
Alteryx
JMP
Base SAS
Predictive Analytics

Website, pricing, platforms and company facts side by side.
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| Website | knime.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
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
KNIME tutorial: Performing joins on KNIME Analytics Platform
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How often each product is chosen within a category, 0–100% relative to the other.


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External articles and on-site reviews we used to compare the two products.


Knime Analytics Platform is an open-source Business Intelligence software that has been developed as an integration platform for creating analytical reports. It is a software that might be difficult for a novice to...
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When comparing KNIME Analytics Platform and Codegres.org, you can also consider the following products.

RStudio™ is a new integrated development environment (IDE) for R.
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IBM SPSS Statistics is software that provides detailed analysis of statistical data. The company behind the product practically needs no introduction, as it's been a staple of the technology industry for over 100 years.
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RapidMiner is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.
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Stata is a software that combines hundreds of different statistical tools into one user interface. Everything from data management to statistical analysis to publication-quality graphics is supported by Stata. Read more about Stata.
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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.
Compare Alteryx to KNIME Analytics Platform or Codegres.org:

JMP is a data representation tool that empowers the engineers, mathematicians and scientists to explore the any of data visually.
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