Machine Learning · head to head
Comet ML vs RapidMiner
Comet ML
Machine Learning
Platform for tracking, comparing, and optimizing ML experiments
- From
- Free
- Rated
- -
RapidMiner
Machine Learning
Visual workflow data science platform, now sold by Altair as AI Studio
- 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; RapidMiner processes are stored as the product's own XML, so they cannot be meaningfully diffed, reviewed in a pull request or executed anywhere else, and a team's accumulated work is not portable in any practical sense.
- They diverge on capability: Comet ML covers Experiment tracking, RapidMiner covers Visual process canvas.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Comet ML and RapidMiner actually diverge.
| Attribute | Comet ML | RapidMiner |
|---|---|---|
| Platforms | Web, Linux, Mac, Windows | Linux, Mac, Windows, Web |
| Founded | 2017 | 2007 |
Identical on both: starting price (Free), pricing model (freemium), free tier (Yes), user rating (Not yet rated), category (Machine Learning).
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 RapidMiner
- Visual process canvas
- Operator library
- Automatic modelling
- Python and R operators
- Validation operators
- Text and time series extensions
- AI Hub server
- Altair portfolio integration
What people use each for
The jobs each tool is most often brought in to do.
Comet ML
- LLM observability and monitoringnot RapidMiner
- AI agent testing and debuggingnot RapidMiner
- Experiment tracking for machine learningnot RapidMiner
- Model registry and version managementnot RapidMiner
- ML model training monitoringnot RapidMiner
RapidMiner
- Modelling work in an engineering organisation where the analysis must be reviewable by people who do not codenot Comet ML
- Teaching data science concepts, where seeing the validation split as a visible connection is more instructive than reading a function callnot Comet ML
- Companies already holding Altair licences, where adding this draws on units already purchased rather than a new procurementnot Comet ML
- Business analysts building predictive workflows without a data science team to hand the problem tonot 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
RapidMiner
- Processes are stored as the product's own XML, so they cannot be meaningfully diffed, reviewed in a pull request or executed anywhere else, and a team's accumulated work is not portable in any practical sense.
- The operator library is the ceiling, and anything beyond it means dropping into an embedded Python or R operator, at which point the code sits inside a visual container that provides none of the version control, testing or debugging a normal repository would.
- Two changes of ownership in three years, Altair in 2022 and Siemens thereafter, have already moved the product's name, packaging and licensing, so a buyer is committing to a roadmap decided inside a much larger engineering software business.
- Licensing draws on Altair's shared units pool, so running heavy modelling work consumes capacity that other teams in the organisation were relying on for different products, which makes cost attribution and capacity planning awkward.
- Scheduling and deployment require AI Hub as a separate server product to install, license and operate, so a model built on the desktop is not in production until another purchase and another installation have been completed.
Pricing, plan by plan
Comet ML
Free- Free CloudFree
- Up to 10 team members
- 25,000 spans per month
- 60-day data retention
- Pro Cloud$19/month
- Up to 50 team members
- 100,000 spans per month
- 60-day data retention
- MLOps FreeFree
- 1 user with fair usage policy
- Experiment tracking
- Dataset management
- MLOps Pro$19/user/month
- Up to 10 users
- 1,500 training hours included
- 500GB storage included
RapidMiner
Free- FreeFree
- 10,000 data rows
- 1 logical processor
- ProfessionalFree
- Unlimited data
- Full features
- Support
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 RapidMiner if
- You need visual process canvas.
- You want to start without paying.
- You work on Linux, Mac, Windows, Web.
- You also want operator library.
Questions people ask
- Is Comet ML or RapidMiner better?
- Neither clearly leads. Comet ML 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, Comet ML or RapidMiner?
- Comet ML starts at Free and RapidMiner at Free.
- Does Comet ML or RapidMiner run on more platforms?
- Comet ML runs on Web, Linux, Mac, Windows. RapidMiner runs on Linux, Mac, 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 llm observability and monitoring, ai agent testing and debugging, experiment tracking for machine learning, model registry and version management. Of those, llm observability and monitoring and ai agent testing and debugging are not what RapidMiner is typically brought in for.
- What can Comet ML do that RapidMiner cannot?
- Comet ML covers Experiment tracking, Code versioning, Model registry, Hyperparameter optimization. RapidMiner covers Visual process canvas, Operator library, Automatic modelling, Python and R operators.
Answered from the vendors’ own pages
Comet ML: Does Comet.ml offer a free plan?
Yes, Comet.ml offers free tiers for both Opik (cloud observability) and MLOps platforms. Free Cloud Opik includes up to 10 team members and 25,000 spans/month. Free MLOps tier is limited to 1 user.
SourceRapidMiner: Is it still called RapidMiner?
The desktop product is now Altair AI Studio and the server is Altair AI Hub. The RapidMiner name persists in documentation, community material and most search results, which makes finding current information harder than it should be.
Comet ML: How many team members can use the free Comet.ml tier?
Free Cloud supports up to 10 team members. The Pro Cloud plan supports up to 50 team members at $19/month.
SourceRapidMiner: Is there a free version?
Altair has offered free and academic editions with usage limits, but the terms have moved with each ownership change, so check what is currently on offer rather than relying on what the free tier allowed a few years ago.
Comet ML: What is a span in Comet.ml pricing?
A span represents a single tracked operation such as model requests or function calls. Free Cloud tier includes 25,000 spans per month.
SourceRapidMiner: Do I need to write code?
No, which is the point of it. You will write some once you hit the edge of the operator library, and at that stage the tool works against you rather than for you.
Comet ML: Does Comet.ml offer academic pricing?
Yes, a free Pro plan is available for academic users; verification is required via signup.
SourceRapidMiner: Can I put a model into production?
Through AI Hub, which is a separate licensed server. The desktop tool builds and validates; it does not schedule or serve.
RapidMiner: How does licensing work?
Through Altair's units model, where a pool of purchased units is drawn on by whichever Altair products your organisation runs, rather than a per-seat licence specific to this product.
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