Softwr

Spreadsheets · head to head

Apache Superset vs Ray

Apache Superset logo

Apache Superset

Spreadsheets

Modern data exploration and visualization platform

From
Free
Rated
-
Full reviewWebsite
Ray logo

Ray

Machine Learning

Scale AI and Python applications

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Apache Superset no commercial pricing; open-source project; Ray windows support is beta and multi node Ray clusters are untested on Windows
  • They diverge on capability: Apache Superset covers 40+ Visualizations, Ray covers Distributed computing.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

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

Attributes where Apache Superset and Ray differ
AttributeApache SupersetRay
Pricing modelopen-sourcefreemium
PlatformsWeb, Self-hosted, DockerLinux, Mac, Windows
CategorySpreadsheetsMachine Learning
Founded19992019

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

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 Apache Superset

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

Only in Ray

  • Distributed computing
  • Ray Train
  • Ray Tune
  • RLlib
  • Ray Serve
  • PyTorch
  • TensorFlow
  • Hugging Face

What people use each for

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

Apache Superset

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

Ray

  • Distributed AI model training and servingnot Apache Superset
  • Large-scale data processingnot Apache Superset
  • Reinforcement learning workloadsnot Apache Superset
  • ML inference servingnot Apache Superset

Where each one falls short

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

Apache Superset

  • No commercial pricing; open-source project
  • Commercial hosting available via Preset.io (separate vendor)

Ray

  • Windows support is beta and multi node Ray clusters are untested on Windows
  • Windows lacks copy on write forking, which raises memory requirements, and Ray code assumes UNIX filenames
  • Multi node clusters are untested on Apple Silicon Macs
  • The Java API is experimental and community supported only, and requires matching Java and Python versions
  • Python 3.13 support is beta

Pricing, plan by plan

Apache Superset

Free
  • Open SourceFree
    • Full Features
    • Self-hosted
    • Community Support

Ray

Free
  • Open SourceFree
    • Full Ray framework
    • All libraries
    • Community support
  • Anyscale PlatformFree
    • Managed infrastructure
    • Enterprise support
    • SLAs

Which should you pick?

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

Choose Ray if

  • You need distributed computing.
  • You want to start without paying.
  • You work on Linux, Mac, Windows.
  • You also want ray train.
Ray review

Questions people ask

Is Apache Superset or Ray better?
Neither clearly leads. Apache Superset starts at Free and Ray at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Apache Superset or Ray?
Apache Superset starts at Free and Ray at Free.
Does Apache Superset or Ray run on more platforms?
Apache Superset runs on Web, Self-hosted, Docker. Ray runs on Linux, Mac, Windows.
Can I use Apache Superset for free?
Both have a free tier, so you can try either at no cost before committing.
What is Apache Superset best used for?
Apache Superset is most often used for self-service analytics, data exploration, ad-hoc reporting, collaborative analysis. Of those, self-service analytics and data exploration are not what Ray is typically brought in for.
What can Apache Superset do that Ray cannot?
Apache Superset covers 40+ Visualizations, SQL IDE, Semantic Layer, Caching. Ray covers Distributed computing, Ray Train, Ray Tune, RLlib.

Answered from the vendors’ own pages

Apache Superset: What does Apache Superset cost?

Apache Superset is open-source software available free under the Apache 2.0 license. There are no licensing costs, subscription fees, or per-seat charges for using Superset itself.

Source
Ray: Is Ray free?

Yes. Ray is free and open source software with over 34,800 GitHub stars and 1,000+ contributors. Users can download and use the Ray framework at no cost.

Source
Apache Superset: Is there a paid version of Apache Superset?

Apache Superset itself is free and open-source. Preset.io offers commercial Superset hosting with premium support, but this is a separate vendor service, not an official paid tier of Superset.

Source
Ray: Is there a paid option for Ray?

Yes. Anyscale, the managed platform built by Ray's creators, offers paid tiers with enterprise features like governance and advanced tooling. Specific Anyscale pricing details are not listed on the Ray website.

Source
Ray: Can I try Ray with credits?

Yes. New users can try Ray with $100 credit on Anyscale's managed platform to explore the service.

Source
Share

Related pages

More on Apache Superset

More on Ray

Keep looking

Other head to heads