Machine Learning · head to head
Comet ML vs Domino Data Lab

Comet ML
Machine Learning
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; Domino Data Lab pricing is by quote only: the pricing page publishes no rate and no minimum, and the tier breakdown is behind a downloadable datasheet form
- They diverge on capability: Comet ML covers Experiment tracking, Domino Data Lab covers Reproducible environments.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Comet ML and Domino Data Lab actually diverge.
| Attribute | Comet ML | Domino Data Lab |
|---|---|---|
| Pricing model | freemium | subscription |
| Platforms | Web, Linux, Mac, Windows | Web |
| Founded | 2017 | 2013 |
Identical on both: starting price (Free), 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
- Hyperparameter optimization
- Production monitoring
- PyTorch
- TensorFlow
- Keras
- scikit-learn
Only in Domino Data Lab
- Reproducible environments
- Model monitoring
- Collaboration
- Governance
- AWS
- Azure
- GCP
- Kubernetes
Both cover
- Model registry
- Web support
What people use each for
The jobs each tool is most often brought in to do.
Comet ML
- LLM observability and monitoringnot Domino Data Lab
- AI agent testing and debuggingnot Domino Data Lab
- Experiment tracking for machine learningnot Domino Data Lab
- Model registry and version managementnot Domino Data Lab
- ML model training monitoringnot Domino Data Lab
Domino Data Lab
- Running reproducible data science workspaces and experiments on shared computenot Comet ML
- Deploying and monitoring models with governance controlsnot Comet ML
- Giving regulated enterprises a self managed MLOps platformnot 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
Domino Data Lab
- Pricing is by quote only: the pricing page publishes no rate and no minimum, and the tier breakdown is behind a downloadable datasheet form
- Licensing is split by user type, with separate data science professional, data analyst, service account and admin licences
- FinOps, Nexus and Governance are paid add on modules rather than part of the platform
- Support level is a separate priced choice
- Self managed VPC or on premises deployment requires the Premium tier or higher
- No free trial is offered on the pricing page
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
Domino Data Lab
Free- TrialFree
- 14-day trial
- Full features
- EnterpriseFree
- Full platform
- Enterprise support
- SLA
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 Domino Data Lab if
- You need reproducible environments.
- You want to start without paying.
- You also want model monitoring.
Questions people ask
- Is Comet ML or Domino Data Lab better?
- Neither clearly leads. Comet ML starts at Free and Domino Data Lab at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Comet ML or Domino Data Lab?
- Comet ML starts at Free and Domino Data Lab at Free.
- Does Comet ML or Domino Data Lab run on more platforms?
- Comet ML runs on Web, Linux, Mac, Windows. Domino Data Lab runs on 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 Domino Data Lab is typically brought in for.
- What can Comet ML do that Domino Data Lab cannot?
- Comet ML covers Experiment tracking, Code versioning, Hyperparameter optimization, Production monitoring. Domino Data Lab covers Reproducible environments, Model monitoring, Collaboration, Governance. Both handle Model registry, Web support.
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.
SourceDomino Data Lab: What user license types are available and what can they do?
Data Science Professionals get full development, model training, and GPU access. Data Analysts get Python/R environments and dashboard creation with limited computing. License counts vary by tier (5-10 admin licenses and 5-10 service accounts).
SourceComet 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.
SourceDomino Data Lab: What support response times are included?
Premium tier includes 2-business-day SLA for support. Enterprise includes 1-business-day SLA plus 24/7 support for critical issues. Both tiers include monitoring and support services.
SourceComet 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.
SourceDomino Data Lab: Are there additional modules available beyond the base subscription?
Yes, advanced add-on modules are available including FinOps (cost optimization), Nexus (hybrid/multicloud support), and Governance. These require separate purchase on top of your subscription tier.
SourceComet ML: Does Comet.ml offer academic pricing?
Yes, a free Pro plan is available for academic users; verification is required via signup.
SourceRelated pages
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