Machine Learning · head to head
Comet ML vs Immuta
Comet ML
Machine Learning
Platform for tracking, comparing, and optimizing ML experiments
- From
- Free
- Free plan
- Yes
Immuta
Databases
Attribute-based access control and masking applied inside Snowflake, Databricks and BigQuery
- From
- On request
- Free plan
- No
The short version
- Comet ML is an experiment management platform.
- Comet ML starts at $19/mo; Immuta prices on request.
- Only Comet ML lists experiment tracking; only Immuta lists attribute-based policy.
- Where Comet ML falls short: the free cloud tier caps data at 25,000 spans a month with 60 day retention.
- Prices and features on this page were last checked on 13 November 2026.
Where they differ
Only the attributes on which Comet ML and Immuta actually diverge.
Not yet recorded: founded for Immuta.
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 Immuta
- Attribute-based policy
- Native enforcement
- Dynamic masking
- Row-level filtering
- Purpose-based access
- Sensitive data tagging
- Audit logging
- Multi-platform
What people use each for
The jobs each tool is most often brought in to do.
Comet ML
- LLM observability and monitoringnot Immuta
- AI agent testing and debuggingnot Immuta
- Experiment tracking for machine learningnot Immuta
- Model registry and version managementnot Immuta
- ML model training monitoringnot Immuta
Immuta
- A bank whose Snowflake estate has grown to tens of thousands of roles that no one can review before an auditnot Comet ML
- A healthcare analytics team that must let researchers query patient data with identifiers masked unless a specific purpose is recordednot Comet ML
- A multinational applying different residency and access rules per jurisdiction to the same tables without duplicating datasetsnot Comet ML
- An organisation running both Snowflake and Databricks that wants one policy set rather than two divergent implementationsnot 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
Immuta
- Contracts commonly start around one hundred to two hundred thousand US dollars a year for mid-market deployments and exceed five hundred thousand at enterprise scale, which excludes most data teams without a regulatory mandate
- Policy is only as good as the data classification underneath it, so an organisation with poorly tagged columns will spend months on classification before Immuta enforces anything useful
- Native enforcement means capability varies by platform, and a feature available on Snowflake may be absent or behave differently on BigQuery, which undermines the promise of one policy set everywhere
- Adding an access governance layer creates a new dependency in the path to data: a misconfigured policy silently returns fewer rows rather than erroring, and analysts can act on incomplete results without noticing
- It governs cloud data platforms, so personal data in operational databases, files and SaaS applications sits outside its scope and needs separate controls, meaning Immuta is rarely the whole answer
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/mo
- 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/mo
- Up to 10 users
- 1,500 training hours included
- 500GB storage included
Immuta
On request- Immuta PlatformOn request
- Attribute-based policy authoring
- Native enforcement in supported data platforms
- Dynamic masking and row-level security
Which should you pick?
Choose Comet ML if
- You need experiment tracking.
- You want to start without paying.
- You work on Web, Linux, macOS, Windows.
- You also want code versioning.
Choose Immuta if
- You need attribute-based policy.
- You work on Web, API.
- You also want native enforcement.
Questions people ask
- Is Comet ML or Immuta better?
- Neither clearly leads. Comet ML starts at Free and Immuta at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Comet ML or Immuta?
- Comet ML has a free tier; the other does not. Paid plans start at Free for Comet ML and On request for Immuta.
- Does Comet ML or Immuta run on more platforms?
- Comet ML runs on Web, Linux, macOS, Windows. Immuta runs on Web, API.
- Can I use Comet ML for free?
- Yes. Comet ML has a free tier, so you can try it without paying. Immuta starts at On request.
- 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 Immuta is typically brought in for.
- What can Comet ML do that Immuta cannot?
- Comet ML covers Experiment tracking, Code versioning, Model registry, Hyperparameter optimization. Immuta covers Attribute-based policy, Native enforcement, Dynamic masking, Row-level filtering.
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.
SourceImmuta: Does Immuta sit in the query path?
No. It compiles policies into the data platform's own native controls, so queries run at normal speed through your existing tools.
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.
SourceImmuta: What does it cost?
Not published. Market data suggests roughly 100,000 to 200,000 US dollars a year for mid-market deployments and considerably more at enterprise scale.
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.
SourceImmuta: Is Immuta still independent?
Yes. It remains independently owned, unlike several competitors in data access governance that have been acquired.
Comet ML: Does Comet.ml offer academic pricing?
Yes, a free Pro plan is available for academic users; verification is required via signup.
SourceImmuta: Does it work across more than one warehouse?
Yes, one policy set can target Snowflake, Databricks, BigQuery and Starburst, though enforcement capability varies by platform.
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