Logging · head to head
Azure Monitor vs Comet ML

Comet ML
Machine Learning
Platform for tracking, comparing, and optimizing ML experiments
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Azure Monitor billed per GB ingested across three separate log plans, Auxiliary, Basic and Analytics, so the plan chosen changes the rate as much as the volume does; Comet ML the free cloud tier caps data at 25,000 spans a month with 60 day retention
- They diverge on capability: Azure Monitor covers Log collection, Comet ML covers Experiment tracking.
Where they differ
Only the attributes on which Azure Monitor and Comet ML actually diverge.
| Attribute | Azure Monitor | Comet ML |
|---|---|---|
| Pricing model | usage-based | freemium |
| Platforms | Web, Api | Web, Linux, Mac, Windows |
| Category | Logging | Machine Learning |
| Founded | 2010 | 2017 |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).
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 Azure Monitor
- Log collection
- Metrics collection
- Alerts and notifications
- Custom dashboards
- API
- Webhooks
- REST
- Api support
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.
Azure Monitor
- Collecting logs and metrics from Azure resourcesnot Comet ML
- Alerting on metric thresholds and log queriesnot Comet ML
- Application performance monitoring through Application Insightsnot Comet ML
- Long-term log retention for compliancenot Comet ML
- Querying operational data with KQLnot Comet ML
Comet ML
- LLM observability and monitoringnot Azure Monitor
- AI agent testing and debuggingnot Azure Monitor
- Experiment tracking for machine learningnot Azure Monitor
- Model registry and version managementnot Azure Monitor
- ML model training monitoringnot Azure Monitor
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Azure Monitor
- Billed per GB ingested across three separate log plans, Auxiliary, Basic and Analytics, so the plan chosen changes the rate as much as the volume does
- Only the first 5 GB a month of Analytics logs is free per billing account
- Retention beyond the base period is charged per GB per month, up to 2 years interactive and 12 years long term
- Log queries and search jobs are billed per GB scanned, so investigating an incident costs money
- Alert rules are billed per time series for metrics and by execution frequency for logs
- The pricing page shows placeholders rather than rates until a region and currency are chosen
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
Azure Monitor
Free- FreeFree
- Log collection
- Metrics collection
- Alerts and notifications
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
Which should you pick?
Choose Azure Monitor if
- You need log collection.
- You want to start without paying.
- You work on Web, Api.
- You also want metrics collection.
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 Azure Monitor or Comet ML better?
- Neither clearly leads. Azure Monitor 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, Azure Monitor or Comet ML?
- Azure Monitor starts at Free and Comet ML at Free.
- Does Azure Monitor or Comet ML run on more platforms?
- Azure Monitor runs on Web, Api. Comet ML runs on Web, Linux, Mac, Windows.
- Can I use Azure Monitor for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Azure Monitor best used for?
- Azure Monitor is most often used for collecting logs and metrics from azure resources, alerting on metric thresholds and log queries, application performance monitoring through application insights, long-term log retention for compliance. Of those, collecting logs and metrics from azure resources and alerting on metric thresholds and log queries are not what Comet ML is typically brought in for.
- What can Azure Monitor do that Comet ML cannot?
- Azure Monitor covers Log collection, Metrics collection, Alerts and notifications, Custom dashboards. Comet ML covers Experiment tracking, Code versioning, Model registry, Hyperparameter optimization. Both handle Web support.
Answered from the vendors’ own pages
Azure Monitor: How does Azure Monitor billing work?
Billing is based on data volume ingested into Azure Monitor. Additional charges apply separately for alerts, notifications, web tests, and data export. Activity log and platform metrics are automatically collected with an Azure subscription.
SourceComet 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.
SourceAzure Monitor: What savings are available with Azure Monitor?
Capacity reservations offer up to 36% savings compared to standard pay-as-you-go pricing when you commit to reserved capacity upfront.
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.
SourceAzure Monitor: Is there a free tier for Azure Monitor?
No dedicated free tier exists. Activity log and platform metrics are automatically collected with an Azure subscription, but detailed monitoring requires additional configuration and associated costs.
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.
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
More on Azure Monitor
Other head to heads
- Azure Monitor vs Elastic Stack
- Azure Monitor vs New Relic
- Azure Monitor vs Datadog Logs
- Azure Monitor vs Coralogix
- Azure Monitor vs Grafana Loki
- Azure Monitor vs incident.io
- Azure Monitor vs Cronitor
- Azure Monitor vs FireHydrant
- Azure Monitor vs Healthchecks
- Azure Monitor vs Openstatus
- Azure Monitor vs Rootly
- Azure Monitor vs Checkly
- Azure Monitor vs CloudWatch
- Azure Monitor vs Dynatrace
- Azure Monitor vs InfluxDB
- Azure Monitor vs Airbrake
- Azure Monitor vs AppDynamics
- Azure Monitor vs Axiom
- Azure Monitor vs AWS SageMaker
- Azure Monitor vs Google Vertex AI
- Azure Monitor vs Azure Machine Learning
- Azure Monitor vs DataRobot
- Azure Monitor vs MLflow
- Azure Monitor vs Snowflake
- Azure Monitor vs TensorFlow
- Azure Monitor vs Jupyter
- Azure Monitor vs LangChain
- Azure Monitor vs Pinecone
- Azure Monitor vs Python
- Azure Monitor vs PyTorch
- Azure Monitor vs scikit-learn
- Azure Monitor vs Apache Spark MLlib
- Azure Monitor vs Weaviate
- Azure Monitor vs Weights & Biases
- Azure Monitor vs Alteryx
- Azure Monitor vs Anaconda
- Comet ML vs Elastic Stack
- Comet ML vs New Relic
- Comet ML vs Datadog Logs
- Comet ML vs Coralogix
- Comet ML vs Grafana Loki
- Comet ML vs incident.io
- Comet ML vs Cronitor
- Comet ML vs FireHydrant
- Comet ML vs Healthchecks
- Comet ML vs Openstatus
- Comet ML vs Rootly
- Comet ML vs Checkly
- Comet ML vs CloudWatch
- Comet ML vs Dynatrace
- Comet ML vs InfluxDB
- Comet ML vs Airbrake
- Comet ML vs AppDynamics
- Comet ML vs Axiom
- Comet ML vs AWS SageMaker
- Comet ML vs Google Vertex AI
- Comet ML vs Azure Machine Learning
- Comet ML vs DataRobot
- Comet ML vs MLflow
- Comet ML vs Snowflake
- Comet ML vs TensorFlow
- Comet ML vs Jupyter
- Comet ML vs LangChain
- Comet ML vs Pinecone
- Comet ML vs Python
- Comet ML vs PyTorch
- Comet ML vs scikit-learn
- Comet ML vs Apache Spark MLlib
- Comet ML vs Weaviate
- Comet ML vs Weights & Biases
- Comet ML vs Alteryx
- Comet ML vs Anaconda

