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Machine Learning · head to head

Comet ML vs Dynatrace

Comet ML logo

Comet ML

Machine Learning

Platform for tracking, comparing, and optimizing ML experiments

From
Free
Rated
-
Full reviewWebsite
Dynatrace logo

Dynatrace

Logging

Application Performance Management and Observability

From
Free
Rated
-
Full reviewWebsite

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; Dynatrace pricing is commitment based: rates require an annual platform level commitment rather than month to month purchase
  • They diverge on capability: Comet ML covers Experiment tracking, Dynatrace covers AI-powered analytics.

Where they differ

Only the attributes on which Comet ML and Dynatrace actually diverge.

Attributes where Comet ML and Dynatrace differ
AttributeComet MLDynatrace
Pricing modelfreemiumsubscription
PlatformsWeb, Linux, Mac, WindowsWeb, Api
CategoryMachine LearningLogging
Founded20172005

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 Comet ML

  • Experiment tracking
  • Code versioning
  • Model registry
  • Hyperparameter optimization
  • Production monitoring
  • PyTorch
  • TensorFlow
  • Keras

Only in Dynatrace

  • AI-powered analytics
  • APM
  • Infrastructure monitoring
  • Log analysis
  • API
  • Webhooks
  • REST
  • Api support

Both cover

  • Web support

What people use each for

The jobs each tool is most often brought in to do.

Comet ML

  • LLM observability and monitoringnot Dynatrace
  • AI agent testing and debuggingnot Dynatrace
  • Experiment tracking for machine learningnot Dynatrace
  • Model registry and version managementnot Dynatrace
  • ML model training monitoringnot Dynatrace

Dynatrace

  • Full stack application performance monitoring with automatic dependency discoverynot Comet ML
  • Kubernetes and container platform observability priced per podnot Comet ML
  • Log ingest, processing and query analyticsnot Comet ML
  • Real user monitoring and session replay for web applicationsnot 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

Dynatrace

  • Pricing is commitment based: rates require an annual platform level commitment rather than month to month purchase
  • Full-Stack Monitoring is priced at $58 per month per 8 GiB of host memory, so a 64 GiB host counts as eight units
  • Infrastructure Monitoring at $29 per host per month excludes code level tracing, which requires Full-Stack
  • Session Replay doubles Real User Monitoring cost from $2.25 to $4.50 per 1,000 sessions
  • Runtime Vulnerability Analytics and Runtime Application Protection are each charged separately at $13 per month per 8 GiB host on top of monitoring

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

Dynatrace

Free
  • FreeFree
    • AI-powered analytics
    • APM
    • Infrastructure monitoring

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.
Comet ML review

Choose Dynatrace if

  • You need ai-powered analytics.
  • You want to start without paying.
  • You work on Web, Api.
  • You also want apm.
Dynatrace review

Questions people ask

Is Comet ML or Dynatrace better?
Neither clearly leads. Comet ML starts at Free and Dynatrace at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Comet ML or Dynatrace?
Comet ML starts at Free and Dynatrace at Free.
Does Comet ML or Dynatrace run on more platforms?
Comet ML runs on Web, Linux, Mac, Windows. Dynatrace runs on Web, Api.
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 Dynatrace is typically brought in for.
What can Comet ML do that Dynatrace cannot?
Comet ML covers Experiment tracking, Code versioning, Model registry, Hyperparameter optimization. Dynatrace covers AI-powered analytics, APM, Infrastructure monitoring, Log analysis. Both handle 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.

Source
Dynatrace: What is the pricing model for Dynatrace monitoring?

Dynatrace uses commitment-based platform subscription pricing with a minimum annual commitment at the platform level. You pay no per-capability or per-user fees. All capabilities are included day one and draw from your commitment at published rates.

Source
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.

Source
Dynatrace: Is there an overage charge if I exceed my commitment?

No, there are no overage penalties. Excess usage continues at the same per-unit rates published on the rate card. The more you commit upfront, the deeper your discount.

Source
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.

Source
Dynatrace: What is the cost for monitoring application infrastructure?

Application monitoring costs $7/month per host ($0.01/hour) for Foundation & Discovery, $29/month per host for Infrastructure Monitoring, or $58/month per 8 GiB of host memory for Full-Stack Monitoring.

Source
Comet ML: Does Comet.ml offer academic pricing?

Yes, a free Pro plan is available for academic users; verification is required via signup.

Source
Dynatrace: How much does log ingestion and querying cost?

Log Analytics pricing is $0.20/GiB for ingestion, then either $0.0007/GiB-day for retention with bundled queries (10-35 days retention included), or pay-per-query at $0.0007/GiB-day retention plus $0.0035 per GiB scanned.

Source
Dynatrace: Is there a free trial available?

Yes, Dynatrace offers a 15-day free trial plus a sandbox environment for hands-on exploration at no cost.

Source
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