Machine Learning & Data Science · head to head
Comet ML vs Alteryx
Comet ML
Machine Learning & Data Science
Platform for tracking, comparing, and optimizing ML experiments
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Comet ML the free cloud tier caps data at 25,000 spans a month with 60 day retention; Alteryx starter is $250 per user per month billed annually, and the Professional and Enterprise editions are quote-only
- They diverge on capability: Comet ML covers Experiment tracking, Alteryx covers Data preparation.
Where they differ
Only the attributes on which Comet ML and Alteryx actually diverge.
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Machine Learning & Data Science).
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 Comet ML
- Experiment tracking
- Code versioning
- Model registry
- Hyperparameter optimization
- Production monitoring
- PyTorch
- TensorFlow
- Keras
Only in Alteryx
- Data preparation
- Data blending
- Predictive analytics
- Spatial analytics
- Reporting
- Python
- R
- Snowflake
Both cover
- Web support
- Windows support
What people use each for
The jobs each tool is most often brought in to do.
Comet ML
- Tracking machine learning experiments, metrics and model versionsnot Alteryx
- Monitoring and evaluating LLM applications with tracingnot Alteryx
Alteryx
- Data preparation and building AI-ready datasetsnot Comet ML
- Predictive analytics without writing codenot Comet ML
- Automating and orchestrating repeatable analytics workflowsnot Comet ML
- Enterprise reporting with governed, reusable logicnot Comet ML
- Connecting to Snowflake, Databricks and cloud warehouses alongside on-premises systemsnot Comet ML
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
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
Alteryx
- Starter is $250 per user per month billed annually, and the Professional and Enterprise editions are quote-only
- Automation runs are metered, with 50 included on Starter and 15,000 on Professional, and more must be bought
- Cost depends on three separate dimensions at once: edition, user role and automation capacity
- Advanced analytics, governance and orchestration are withheld from the entry edition
Pricing, plan by plan
Comet ML
Free- FreeFree
- 100 experiments
- Basic features
- Community support
- Team$179/month
- Unlimited experiments
- Team collaboration
- Priority support
Alteryx
Free- TrialFree
- 14-day trial
- Full features
- Designer Desktop$5195/year
- Data prep
- Blending
- Analytics
Which should you pick?
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.
Choose Alteryx if
- You need data preparation.
- You want to start without paying.
- You work on Windows, Web.
- You also want data blending.
Questions people ask
- Is Comet ML or Alteryx better?
- Neither clearly leads. Comet ML starts at Free and Alteryx at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Comet ML or Alteryx?
- Comet ML starts at Free and Alteryx at Free.
- Does Comet ML or Alteryx run on more platforms?
- Comet ML runs on Web, Linux, Mac, Windows. Alteryx runs on Windows, Web.
- Can I use Comet ML for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Comet ML best used for?
- Comet ML is most often used for tracking machine learning experiments, metrics and model versions, monitoring and evaluating llm applications with tracing. Of those, tracking machine learning experiments, metrics and model versions and monitoring and evaluating llm applications with tracing are not what Alteryx is typically brought in for.
- What can Comet ML do that Alteryx cannot?
- Comet ML covers Experiment tracking, Code versioning, Model registry, Hyperparameter optimization. Alteryx covers Data preparation, Data blending, Predictive analytics, Spatial analytics. Both handle Web support, Windows support.
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