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Software · head to head

Apache Superset vs Comet ML

Apache Superset logo

Apache Superset

Software

Modern data exploration and visualization platform

From
Free
Rated
-
Comet ML logo

Comet ML

Software

Platform for tracking, comparing, and optimizing ML experiments

From
Free
Rated
-

The short version

  • Each has a real cost: 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.; Comet ML the free cloud tier caps data at 25,000 spans a month with 60 day retention
  • They diverge on capability: Apache Superset covers 40+ Visualizations, Comet ML covers Experiment tracking.

Where they differ

Only the attributes on which Apache Superset and Comet ML actually diverge.

Attributes where Apache Superset and Comet ML differ
AttributeApache SupersetComet ML
Pricing modelopen-sourcefreemium
PlatformsWeb, Self-hosted, DockerWeb, Linux, Mac, Windows
Founded19992017

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 Apache Superset

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

Only in Comet ML

  • Experiment tracking
  • Code versioning
  • Model registry
  • Hyperparameter optimization
  • Production monitoring
  • PyTorch
  • TensorFlow
  • Keras

Both cover

  • Web support

What people use each for

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

Apache Superset

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

Comet ML

  • Tracking machine learning experiments, metrics and model versionsnot Apache Superset
  • Monitoring and evaluating LLM applications with tracingnot Apache Superset

Where each one falls short

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

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.

Comet ML

  • The free cloud tier caps data at 25,000 spans a month with 60 day retention
  • Retention stays at 60 days even on the paid Pro plan, and extending it is a $29 per 100k spans add on
  • Overage on Pro is $5 per additional 100,000 spans
  • The free MLOps tier is a single user with 100 GB of storage and training hours governed by a fair usage policy
  • Pro MLOps is $19 per user per month and caps the team at 10 users

Pricing, plan by plan

Apache Superset

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

Comet ML

Free
  • FreeFree
    • 100 experiments
    • Basic features
    • Community support
  • Team$179/month
    • Unlimited experiments
    • Team collaboration
    • Priority support

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.

Choose Comet ML if

  • You need experiment tracking.
  • You want to start without paying.
  • You work on Web, Linux, Mac, Windows.
  • You also want code versioning.

Questions people ask

Is Apache Superset or Comet ML better?
Neither clearly leads. Apache Superset starts at Free and Comet ML at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Apache Superset or Comet ML?
Apache Superset starts at Free and Comet ML at Free.
Does Apache Superset or Comet ML run on more platforms?
Apache Superset runs on Web, Self-hosted, Docker. Comet ML runs on Web, 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 Comet ML is typically brought in for.
What can Apache Superset do that Comet ML cannot?
Apache Superset covers 40+ Visualizations, SQL IDE, Semantic Layer, Caching. Comet ML covers Experiment tracking, Code versioning, Model registry, Hyperparameter optimization. Both handle Web support.

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