Get Advice Icon

Need advice about which tool to choose?Ask the StackShare community!

R Language

3.2K
1.9K
+ 1
416
RapidMiner

36
65
+ 1
0
Add tool

R Language vs RapidMiner: What are the differences?

What is R Language? A language and environment for statistical computing and graphics. R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, ...) and graphical techniques, and is highly extensible.

What is RapidMiner? Prep data, create predictive models & operationalize analytics within any business process. It is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.

R Language and RapidMiner can be categorized as "Languages" tools.

Manage your open source components, licenses, and vulnerabilities
Learn More
Pros of R Language
Pros of RapidMiner
  • 86
    Data analysis
  • 64
    Graphics and data visualization
  • 55
    Free
  • 45
    Great community
  • 38
    Flexible statistical analysis toolkit
  • 27
    Easy packages setup
  • 27
    Access to powerful, cutting-edge analytics
  • 18
    Interactive
  • 13
    R Studio IDE
  • 9
    Hacky
  • 7
    Shiny apps
  • 6
    Shiny interactive plots
  • 6
    Preferred Medium
  • 5
    Automated data reports
  • 4
    Cutting-edge machine learning straight from researchers
  • 3
    Machine Learning
  • 2
    Graphical visualization
  • 1
    Flexible Syntax
    Be the first to leave a pro

    Sign up to add or upvote prosMake informed product decisions

    Cons of R Language
    Cons of RapidMiner
    • 6
      Very messy syntax
    • 4
      Tables must fit in RAM
    • 3
      Arrays indices start with 1
    • 2
      Messy syntax for string concatenation
    • 2
      No push command for vectors/lists
    • 1
      Messy character encoding
    • 0
      Poor syntax for classes
    • 0
      Messy syntax for array/vector combination
      Be the first to leave a con

      Sign up to add or upvote consMake informed product decisions

      764
      2.4K
      74
      512

      What is R Language?

      R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, ...) and graphical techniques, and is highly extensible.

      What is RapidMiner?

      It is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.

      Need advice about which tool to choose?Ask the StackShare community!

      What companies use R Language?
      What companies use RapidMiner?
      Manage your open source components, licenses, and vulnerabilities
      Learn More

      Sign up to get full access to all the companiesMake informed product decisions

      What tools integrate with R Language?
      What tools integrate with RapidMiner?

      Sign up to get full access to all the tool integrationsMake informed product decisions

      Blog Posts

      Aug 28 2019 at 3:10AM

      Segment

      PythonJavaAmazon S3+16
      7
      2677
      GitGitHubDocker+34
      29
      42810
      What are some alternatives to R Language and RapidMiner?
      Python
      Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best.
      DataRobot
      It is an enterprise-grade predictive analysis software for business analysts, data scientists, executives, and IT professionals. It analyzes numerous innovative machine learning algorithms to establish, implement, and build bespoke predictive models for each situation.
      Power BI
      It aims to provide interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards.
      TensorFlow
      TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
      H2O
      H2O.ai is the maker behind H2O, the leading open source machine learning platform for smarter applications and data products. H2O operationalizes data science by developing and deploying algorithms and models for R, Python and the Sparkling Water API for Spark.
      See all alternatives