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Software · head to head

Anaconda vs RapidMiner

Anaconda logo

Anaconda

Software

The world's most popular data science platform

From
Free
Rated
-
Full reviewWebsite
R

RapidMiner

Software

Data science platform for business teams

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Anaconda dependency resolution slower than pip due to SAT solver complexity; RapidMiner rapidMiner is now a Siemens product: rapidminer.com redirects to a Siemens product page and the former Altair page redirects there too
  • They diverge on capability: Anaconda covers Conda package manager, RapidMiner covers Visual workflows.

Where they differ

Only the attributes on which Anaconda and RapidMiner actually diverge.

Attributes where Anaconda and RapidMiner differ
AttributeAnacondaRapidMiner
Pricing modelUnknownfreemium
PlatformsWindows, macOS, Linux, Web/CloudLinux, Mac, Windows, Web
Founded20122007

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Unknown).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Anaconda

  • Conda package manager
  • Environment management
  • 1500+ packages
  • Navigator GUI
  • Cross-platform support
  • Jupyter
  • VS Code
  • PyCharm

Only in RapidMiner

  • Visual workflows
  • AutoML
  • Data preparation
  • Model deployment
  • Text mining
  • Python
  • R
  • Spark

Both cover

  • Linux support
  • Mac support
  • Windows support

What people use each for

The jobs each tool is most often brought in to do.

Anaconda

  • Machine learningnot RapidMiner
  • Data analysisnot RapidMiner
  • Model trainingnot RapidMiner
  • Predictive analyticsnot RapidMiner

RapidMiner

  • Visual drag and drop machine learning model buildingnot Anaconda
  • Data preparation and cleansing before modellingnot Anaconda
  • Deploying and scoring predictive models in an enterprise settingnot Anaconda

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Anaconda

  • Dependency resolution slower than pip due to SAT solver complexity
  • Not all PyPI packages available through default Anaconda repository
  • Requires paid licenses for organizations with 200+ employees
  • Larger disk footprint than minimal Python installations

RapidMiner

  • RapidMiner is now a Siemens product: rapidminer.com redirects to a Siemens product page and the former Altair page redirects there too
  • Pricing is by quote only: the product page publishes no rate, no licensing unit and no minimum, offering only a Contact us button
  • The product is now one component of a six product portfolio alongside Graph Studio, SLC, Monarch, Panopticon and Knowledge Studio

Pricing, plan by plan

Anaconda

Free
  • FreeFree
    • 600+ pre-installed packages
    • Anaconda Navigator
    • 5GB cloud storage
  • Starter$15/month
    • 10GB cloud storage per user
    • Professional development environment
    • Team workspace controls
  • Business$50/month
    • Automated vulnerability scanning
    • Audit trails
    • Enterprise SSO

RapidMiner

Free
  • FreeFree
    • 10,000 data rows
    • 1 logical processor
  • ProfessionalFree
    • Unlimited data
    • Full features
    • Support

Which should you pick?

Choose Anaconda if

  • You need conda package manager.
  • You want to start without paying.
  • You work on Windows, macOS, Linux, Web/Cloud.
  • You also want environment management.
Anaconda review

Choose RapidMiner if

  • You need visual workflows.
  • You want to start without paying.
  • You work on Linux, Mac, Windows, Web.
  • You also want automl.
RapidMiner review

Questions people ask

Is Anaconda or RapidMiner better?
Neither clearly leads. Anaconda starts at Free and RapidMiner at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Anaconda or RapidMiner?
Anaconda starts at Free and RapidMiner at Free.
Does Anaconda or RapidMiner run on more platforms?
Anaconda runs on Windows, macOS, Linux, Web/Cloud. RapidMiner runs on Linux, Mac, Windows, Web.
Can I use Anaconda for free?
Both have a free tier, so you can try either at no cost before committing.
What is Anaconda best used for?
Anaconda is most often used for machine learning, data analysis, model training, predictive analytics. Of those, machine learning and data analysis are not what RapidMiner is typically brought in for.
What can Anaconda do that RapidMiner cannot?
Anaconda covers Conda package manager, Environment management, 1500+ packages, Navigator GUI. RapidMiner covers Visual workflows, AutoML, Data preparation, Model deployment. Both handle Linux support, Mac support, Windows support.

Answered from the vendors’ own pages

Anaconda: Does Anaconda have a free version?

Yes. Anaconda Distribution is free and includes 600+ pre-installed data science packages, Navigator, and 5GB of cloud storage. Organizations with 200+ employees must use paid plans unless they qualify for academic or non-profit exemptions.

Source
Anaconda: What is the difference between Anaconda Distribution and Miniconda?

Anaconda Distribution includes 600+ pre-installed packages optimized for data science out of the box. Miniconda is lightweight with only conda, Python, and essential packages, requiring manual installation of additional libraries.

Source
Anaconda: Does Anaconda integrate with VS Code?

Yes. Anaconda environments can be activated in VS Code, and you can run Jupyter Notebooks directly. Both JupyterLab and conda can be managed through the VS Code Jupyter extension.

Source
Anaconda: What platforms does Anaconda support?

Anaconda runs on Windows, macOS, and Linux, with cloud-based deployment options. Anaconda Notebooks provides a cloud-based JupyterLab environment requiring no local installation.

Source
Anaconda: Do all PyPI packages work with Anaconda?

Not all PyPI packages are available through Anaconda's default conda repository. When a package is unavailable in conda, you can install it from conda-forge or pip as an alternative.

Source
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