Software · head to head
Comet ML vs NocoDB
Comet ML
Software
Platform for tracking, comparing, and optimizing ML experiments
- From
- Free
- Rated
- -
NocoDB
Software
Open-source no-code database platform with REST and GraphQL APIs
- 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; NocoDB the free cloud tier is capped at 3 editor seats, 1,000 records and 1 GB of storage
- They diverge on capability: Comet ML covers Experiment tracking, NocoDB covers REST API.
Where they differ
Only the attributes on which Comet ML and NocoDB actually diverge.
Identical on both: starting price (Free), 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 NocoDB
- REST API
- GraphQL API
- No-code database
- Multiple SQL databases
- Webhooks
- Automation
- Cloud support
- Self-hosted 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 NocoDB
- Monitoring and evaluating LLM applications with tracingnot NocoDB
NocoDB
- Self-hosting an open source alternative to a spreadsheet databasenot Comet ML
- Putting a spreadsheet interface over an existing Postgres or MySQL databasenot Comet ML
- Building internal tools on structured data with an APInot Comet ML
- Team bases with per-field and per-table permissions on the paid tiersnot 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
NocoDB
- The free cloud tier is capped at 3 editor seats, 1,000 records and 1 GB of storage
- Records are the metering unit on cloud, so Plus covers 50K and Business 300K rather than scaling by seat alone
- Row-level security, audit log retention and team hierarchy require the Scale tier
- SCIM provisioning and air-gapped deployment are Enterprise only
- The self-hosted Community edition is unlimited on records and seats but does without workflows, scripts and dashboards, which start at the paid self-hosted tiers
Pricing, plan by plan
Comet ML
Free- FreeFree
- 100 experiments
- Basic features
- Community support
- Team$179/month
- Unlimited experiments
- Team collaboration
- Priority support
NocoDB
Free- CommunityFree
- Self-hosted NocoDB
- Community support
- Starter$5/monthly
- Cloud hosting
- Basic features
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 NocoDB if
- You need rest api.
- You want to start without paying.
- You work on Cloud, Self-hosted, Docker.
- You also want graphql api.
Questions people ask
- Is Comet ML or NocoDB better?
- Neither clearly leads. Comet ML starts at Free and NocoDB at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Comet ML or NocoDB?
- Comet ML starts at Free and NocoDB at Free.
- Does Comet ML or NocoDB run on more platforms?
- Comet ML runs on Web, Linux, Mac, Windows. NocoDB runs on Cloud, Self-hosted, Docker.
- 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 NocoDB is typically brought in for.
- What can Comet ML do that NocoDB cannot?
- Comet ML covers Experiment tracking, Code versioning, Model registry, Hyperparameter optimization. NocoDB covers REST API, GraphQL API, No-code database, Multiple SQL databases.
Related pages
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