Software · head to head
Comet ML vs Redash

Comet ML
Software
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; Redash a basic self-hosted deployment needs a minimum of 4GB of RAM, and more RAM and CPU as background workers and API processes grow
- They diverge on capability: Comet ML covers Experiment tracking, Redash covers SQL Query Editor.
Where they differ
Only the attributes on which Comet ML and Redash actually diverge.
Identical on both: starting price (Free), pricing model (freemium), free tier (Yes), user rating (Not yet rated), category (Unknown).
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 Redash
- SQL Query Editor
- Multiple Data Sources
- Visualizations
- Dashboards
- Alerts
- PostgreSQL
- MySQL
- BigQuery
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 Redash
- Monitoring and evaluating LLM applications with tracingnot Redash
Redash
- Self-hosted SQL query editor and dashboarding over existing databasesnot Comet ML
- Sharing scheduled query results with a team without buying a BI licencenot 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
Redash
- A basic self-hosted deployment needs a minimum of 4GB of RAM, and more RAM and CPU as background workers and API processes grow
- The official Docker images were not updated for V10, so the documented route is to deploy a V8 instance and then upgrade it
- Anyone not using a provided cloud image has to configure the environment variables and secrets by hand
Pricing, plan by plan
Comet ML
Free- FreeFree
- 100 experiments
- Basic features
- Community support
- Team$179/month
- Unlimited experiments
- Team collaboration
- Priority support
Redash
Free- Open SourceFree
- Full Features
- Self-hosted
- Community Support
- Cloud$49/month
- Managed Hosting
- Automatic Updates
- 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.
Choose Redash if
- You need sql query editor.
- You want to start without paying.
- You work on Web, Self-hosted, Cloud.
- You also want multiple data sources.
Questions people ask
- Is Comet ML or Redash better?
- Neither clearly leads. Comet ML starts at Free and Redash at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Comet ML or Redash?
- Comet ML starts at Free and Redash at Free.
- Does Comet ML or Redash run on more platforms?
- Comet ML runs on Web, Linux, Mac, Windows. Redash runs on Web, Self-hosted, Cloud.
- 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 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 Redash is typically brought in for.
- What can Comet ML do that Redash cannot?
- Comet ML covers Experiment tracking, Code versioning, Model registry, Hyperparameter optimization. Redash covers SQL Query Editor, Multiple Data Sources, Visualizations, Dashboards. Both handle Web support.
Related pages
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- Redash vs Google Vertex AI
- Redash vs Azure Machine Learning
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- Redash vs MLflow
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- Redash vs scikit-learn
- Redash vs Apache Spark MLlib
- Redash vs Weights & Biases
- Redash vs Alteryx
- Redash vs Anaconda
- Redash vs Databricks
- Redash vs Dataiku
- Redash vs DVC
- Redash vs Tableau
- Redash vs Looker
- Redash vs Metabase
- Redash vs Fibery
- Redash vs Apache Superset
- Redash vs Baserow
- Redash vs Budibase
- Redash vs NocoDB

