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Machine Learning & Data Science · head to head

Comet ML vs SAP Analytics Cloud

Comet ML logo

Comet ML

Machine Learning & Data Science

Platform for tracking, comparing, and optimizing ML experiments

From
Free
Rated
-
Full reviewWebsite
SAP Analytics Cloud logo

SAP Analytics Cloud

Inventory Management

Enterprise inventory analytics and planning

From
On request
Rated
-
Full reviewWebsite

The short version

  • Only Comet ML has a free tier, so it costs nothing to try first.
  • Each has a real cost: Comet ML the free cloud tier caps data at 25,000 spans a month with 60 day retention; SAP Analytics Cloud high implementation costs and complexity for large enterprises
  • They diverge on capability: Comet ML covers Experiment tracking, SAP Analytics Cloud covers Advanced analytics.

Where they differ

Only the attributes on which Comet ML and SAP Analytics Cloud actually diverge.

Attributes where Comet ML and SAP Analytics Cloud differ
AttributeComet MLSAP Analytics Cloud
Starting priceFreeOn request
Pricing modelfreemiumsubscription
Free tierYesNo
PlatformsWeb, Linux, Mac, WindowsCloud
CategoryMachine Learning & Data ScienceInventory Management
Founded20171972

Identical on both: 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 SAP Analytics Cloud

  • Advanced analytics
  • Demand planning
  • Inventory optimization
  • Predictive modeling
  • Supply chain visibility
  • Real-time reporting
  • Machine learning capabilities
  • SAP ecosystem

Both cover

  • Web support

What people use each for

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

Comet ML

  • Tracking machine learning experiments, metrics and model versionsnot SAP Analytics Cloud
  • Monitoring and evaluating LLM applications with tracingnot SAP Analytics Cloud

SAP Analytics Cloud

  • Demand forecastingnot Comet ML
  • Inventory optimizationnot Comet ML
  • Supply chain analyticsnot Comet ML
  • Predictive planningnot 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

SAP Analytics Cloud

  • High implementation costs and complexity for large enterprises
  • Requires significant data governance and planning infrastructure

Pricing, plan by plan

Comet ML

Free
  • FreeFree
    • 100 experiments
    • Basic features
    • Community support
  • Team$179/month
    • Unlimited experiments
    • Team collaboration
    • Priority support

SAP Analytics Cloud

On request
  • Standard$5000/month
    • Core analytics
    • 20 users
    • Standard support
  • Premium$10000/month
    • Advanced planning
    • 30 users
    • Priority support
  • Enterprise$20000/month
    • Full suite
    • Unlimited users
    • Dedicated 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.
Comet ML review

Choose SAP Analytics Cloud if

  • You need advanced analytics.
  • You work on Cloud.
  • You also want demand planning.
SAP Analytics Cloud review

Questions people ask

Is Comet ML or SAP Analytics Cloud better?
Neither clearly leads. Comet ML starts at Free and SAP Analytics Cloud at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Comet ML or SAP Analytics Cloud?
Comet ML has a free tier; the other does not. Paid plans start at Free for Comet ML and On request for SAP Analytics Cloud.
Does Comet ML or SAP Analytics Cloud run on more platforms?
Comet ML runs on Web, Linux, Mac, Windows. SAP Analytics Cloud runs on Cloud.
Can I use Comet ML for free?
Yes. Comet ML has a free tier, so you can try it without paying. SAP Analytics Cloud starts at On request.
What is Comet ML best used for?
Comet ML is most often used for tracking machine learning experiments, metrics and model versions, monitoring and evaluating llm applications with tracing. Of those, tracking machine learning experiments, metrics and model versions and monitoring and evaluating llm applications with tracing are not what SAP Analytics Cloud is typically brought in for.
What can Comet ML do that SAP Analytics Cloud cannot?
Comet ML covers Experiment tracking, Code versioning, Model registry, Hyperparameter optimization. SAP Analytics Cloud covers Advanced analytics, Demand planning, Inventory optimization, Predictive modeling. Both handle Web support.

Answered from the vendors’ own pages

SAP Analytics Cloud: What are the main modules in SAP Analytics Cloud?

SAP Analytics Cloud combines business intelligence (BI), enterprise planning, and predictive analytics in one solution for unified financial, supply chain, and operational planning.

Source
SAP Analytics Cloud: Does SAP Analytics Cloud support AI and machine learning?

Yes, SAP Analytics Cloud includes Joule, an AI assistant that helps automate forecasts at any planning level, uncover insights, and develop business plans.

Source
SAP Analytics Cloud: What data sources can I connect to SAP Analytics Cloud?

SAP Analytics Cloud supports native Snowflake connectivity, Azure SQL, and integration with SAP Datasphere for unified data management across multiple sources.

Source
SAP Analytics Cloud: What planning features does SAP Analytics Cloud offer?

SAP Analytics Cloud provides enterprise planning capabilities including budgeting, forecasting, and supply chain planning with real-time data and collaborative workflows.

Source
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