Software · head to head
Domino Data Lab vs Neptune.ai
The short version
- Each has a real cost: Domino Data Lab pricing is by quote only: the pricing page publishes no rate and no minimum, and the tier breakdown is behind a downloadable datasheet form; Neptune.ai free tier limited to 100 hours per month, exhausted quickly with serious ML work
- They diverge on capability: Domino Data Lab covers Reproducible environments, Neptune.ai covers Experiment tracking.
Where they differ
Only the attributes on which Domino Data Lab and Neptune.ai actually diverge.
| Attribute | Domino Data Lab | Neptune.ai |
|---|---|---|
| Pricing model | subscription | Unknown |
| Platforms | Web | Web, Self-hosted |
| Founded | 2013 | 2017 |
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 Domino Data Lab
- Reproducible environments
- Model monitoring
- Collaboration
- Governance
- AWS
- Azure
- GCP
- Kubernetes
Only in Neptune.ai
- Experiment tracking
- Metadata logging
- Comparison views
- Custom dashboards
- PyTorch
- TensorFlow
- Keras
- scikit-learn
Both cover
- Model registry
- Web support
What people use each for
The jobs each tool is most often brought in to do.
Domino Data Lab
- Running reproducible data science workspaces and experiments on shared computenot Neptune.ai
- Deploying and monitoring models with governance controlsnot Neptune.ai
- Giving regulated enterprises a self managed MLOps platformnot Neptune.ai
Neptune.ai
- Machine learningnot Domino Data Lab
- Data analysisnot Domino Data Lab
- Model trainingnot Domino Data Lab
- Predictive analyticsnot Domino Data Lab
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Domino Data Lab
- Pricing is by quote only: the pricing page publishes no rate and no minimum, and the tier breakdown is behind a downloadable datasheet form
- Licensing is split by user type, with separate data science professional, data analyst, service account and admin licences
- FinOps, Nexus and Governance are paid add on modules rather than part of the platform
- Support level is a separate priced choice
- Self managed VPC or on premises deployment requires the Premium tier or higher
- No free trial is offered on the pricing page
Neptune.ai
- Free tier limited to 100 hours per month, exhausted quickly with serious ML work
- Lacks hyperparameter sweeps compared to Weights and Biases
- No pipeline orchestration or broader MLOps lifecycle management
- Dashboard visualization limitations - automatic resizing affects visualization order and size
- Cloud-based SaaS only (as of last available service) requires internet connectivity
Pricing, plan by plan
Domino Data Lab
Free- TrialFree
- 14-day trial
- Full features
- EnterpriseFree
- Full platform
- Enterprise support
- SLA
Neptune.ai
FreeNo published plan breakdown. See the Neptune.ai review.
Which should you pick?
Choose Domino Data Lab if
- You need reproducible environments.
- You want to start without paying.
- You also want model monitoring.
Choose Neptune.ai if
- You need experiment tracking.
- You want to start without paying.
- You work on Web, Self-hosted.
- You also want metadata logging.
Questions people ask
- Is Domino Data Lab or Neptune.ai better?
- Neither clearly leads. Domino Data Lab starts at Free and Neptune.ai at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Domino Data Lab or Neptune.ai?
- Domino Data Lab starts at Free and Neptune.ai at Free.
- Does Domino Data Lab or Neptune.ai run on more platforms?
- Domino Data Lab runs on Web. Neptune.ai runs on Web, Self-hosted.
- Can I use Domino Data Lab for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Domino Data Lab best used for?
- Domino Data Lab is most often used for running reproducible data science workspaces and experiments on shared compute, deploying and monitoring models with governance controls, giving regulated enterprises a self managed mlops platform. Of those, running reproducible data science workspaces and experiments on shared compute and deploying and monitoring models with governance controls are not what Neptune.ai is typically brought in for.
- What can Domino Data Lab do that Neptune.ai cannot?
- Domino Data Lab covers Reproducible environments, Model monitoring, Collaboration, Governance. Neptune.ai covers Experiment tracking, Metadata logging, Comparison views, Custom dashboards. Both handle Model registry, Web support.
Answered from the vendors’ own pages
Neptune.ai: Does Neptune.ai support self-hosting?
Yes. Neptune can be self-hosted on a Kubernetes cluster with ClickHouse, MySQL, and Redis dependencies, allowing organizations to maintain full data control.
SourceNeptune.ai: What machine learning frameworks does Neptune integrate with?
Neptune integrates with PyTorch, TensorFlow, Keras, scikit-learn, XGBoost, LightGBM, Hugging Face Transformers, and Optuna for hyperparameter optimization.
SourceNeptune.ai: What is the cost for a team of 10 data scientists?
Neptune's Team plan costs $49 per user per month, resulting in $490/month for 10 users, comparable to Weights and Biases at $50/user.
SourceNeptune.ai: When is Neptune.ai shutting down?
Neptune.ai is shutting down its external SaaS service on March 5, 2026, following its acquisition by OpenAI in December 2025. Customers must export and migrate data before that date.
Source