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Anaconda vs Apache Superset

Anaconda logo

Anaconda

Software

The world's most popular data science platform

From
Free
Rated
-
Full reviewWebsite
Apache Superset logo

Apache Superset

Software

Modern data exploration and visualization platform

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Anaconda dependency resolution slower than pip due to SAT solver complexity; Apache Superset distributed under Apache License 2.0 with no official vendor-hosted SaaS; deploying it requires self-managed infrastructure since the Apache Software Foundation does not sell a managed offering.
  • They diverge on capability: Anaconda covers Conda package manager, Apache Superset covers 40+ Visualizations.

Where they differ

Only the attributes on which Anaconda and Apache Superset actually diverge.

Attributes where Anaconda and Apache Superset differ
AttributeAnacondaApache Superset
Pricing modelUnknownopen-source
PlatformsWindows, macOS, Linux, Web/CloudWeb, Self-hosted, Docker
Founded20121999

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 Apache Superset

  • 40+ Visualizations
  • SQL IDE
  • Semantic Layer
  • Caching
  • Security
  • PostgreSQL
  • MySQL
  • Presto

What people use each for

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

Anaconda

  • Machine learningnot Apache Superset
  • Data analysisnot Apache Superset
  • Model trainingnot Apache Superset
  • Predictive analyticsnot Apache Superset

Apache Superset

  • Self-service analyticsnot Anaconda
  • Data explorationnot Anaconda
  • Ad-hoc reportingnot Anaconda
  • Collaborative analysisnot Anaconda
  • Embedded analyticsnot 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

Apache Superset

  • Distributed under Apache License 2.0 with no official vendor-hosted SaaS; deploying it requires self-managed infrastructure since the Apache Software Foundation does not sell a managed offering.

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

Apache Superset

Free
  • Open SourceFree
    • Full Features
    • Self-hosted
    • Community 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 Apache Superset if

  • You need 40+ visualizations.
  • You want to start without paying.
  • You work on Web, Self-hosted, Docker.
  • You also want sql ide.
Apache Superset review

Questions people ask

Is Anaconda or Apache Superset better?
Neither clearly leads. Anaconda starts at Free and Apache Superset at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Anaconda or Apache Superset?
Anaconda starts at Free and Apache Superset at Free.
Does Anaconda or Apache Superset run on more platforms?
Anaconda runs on Windows, macOS, Linux, Web/Cloud. Apache Superset runs on Web, Self-hosted, Docker.
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 Apache Superset is typically brought in for.
What can Anaconda do that Apache Superset cannot?
Anaconda covers Conda package manager, Environment management, 1500+ packages, Navigator GUI. Apache Superset covers 40+ Visualizations, SQL IDE, Semantic Layer, Caching.

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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