Machine Learning · head to head
Neptune.ai vs Ollama

Ollama
Machine Learning
Open-source tool for running LLMs locally on desktop and servers
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Neptune.ai free tier limited to 100 hours per month, exhausted quickly with serious ML work; Ollama requires user to provide computational hardware; no free cloud compute; models may not fit in available RAM on typical machines
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Neptune.ai and Ollama actually diverge.
| Attribute | Neptune.ai | Ollama |
|---|---|---|
| Pricing model | Unknown | freemium |
| Platforms | Web, Self-hosted | macOS, Windows, Linux, Cloud (AWS, Google Cloud, Azure, self-hosted) |
| Founded | 2017 | Unknown |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Machine Learning).
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 Neptune.ai
- Experiment tracking
- Model registry
- Metadata logging
- Comparison views
- Custom dashboards
- PyTorch
- TensorFlow
- Keras
Only in Ollama
Nothing recorded that Neptune.ai does not also cover.
What people use each for
The jobs each tool is most often brought in to do.
Neptune.ai
- Machine learningnot Ollama
- Data analysisnot Ollama
- Model trainingnot Ollama
- Predictive analyticsnot Ollama
Ollama
- Local development and testing without API costs or rate limitsnot Neptune.ai
- Privacy-sensitive applications requiring data to remain on-devicenot Neptune.ai
- Cost-sensitive deployments where computational resources are already availablenot Neptune.ai
- Fully offline environments or air-gapped networksnot Neptune.ai
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
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
Ollama
- Requires user to provide computational hardware; no free cloud compute; models may not fit in available RAM on typical machines
- No hosted service option for inference; all computational burden falls to user
- Limited to open-weight models; cannot run proprietary models like GPT-4 or Claude locally
- Performance depends entirely on user's hardware; no SLAs or guarantees on speed
Pricing, plan by plan
Neptune.ai
FreeNo published plan breakdown. See the Neptune.ai review.
Ollama
Free- FreeFree
- CLI, API, desktop apps
- Unlimited public models
- 40,000+ community integrations
- Pro$20/month
- Access to larger, more powerful cloud models
- Run 3 concurrent cloud models
- 50x more usage than Free
- Max$100/month
- Run 10 concurrent cloud models
- 5x more usage than Pro
- Team$25/month
- Per seat pricing (5-seat minimum = $125/month)
- Shared billing
- Zero data retention
Which should you pick?
Choose Neptune.ai if
- You need experiment tracking.
- You want to start without paying.
- You work on Web, Self-hosted.
- You also want model registry.
Choose Ollama if
- You want to start without paying.
- You work on macOS, Windows, Linux, Cloud (AWS, Google Cloud, Azure, self-hosted).
Questions people ask
- Is Neptune.ai or Ollama better?
- Neither clearly leads. Neptune.ai starts at Free and Ollama at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Neptune.ai or Ollama?
- Neptune.ai starts at Free and Ollama at Free.
- Does Neptune.ai or Ollama run on more platforms?
- Neptune.ai runs on Web, Self-hosted. Ollama runs on macOS, Windows, Linux, Cloud (AWS, Google Cloud, Azure, self-hosted).
- Can I use Neptune.ai for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Neptune.ai best used for?
- Neptune.ai is most often used for machine learning, data analysis, model training, predictive analytics. Of those, machine learning and data analysis are not what Ollama is typically brought in for.
- What can Neptune.ai do that Ollama cannot?
- Neptune.ai covers Experiment tracking, Model registry, Metadata logging, Comparison views.
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.
SourceOllama: How much does Ollama cost?
Ollama is free to use with unlimited public models. Pro paid plans start at $20/month for 3 concurrent cloud models, or $100/month for Max with 10 concurrent models. Team plans cost $25/seat/month with a 5-seat minimum.
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.
SourceOllama: What does the Ollama free tier include?
The free tier includes CLI and API access, unlimited public models, 40,000+ community integrations, and private data retention, though limited to 1 concurrent cloud model.
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.
SourceOllama: How much usage is included with each Ollama plan?
Pro includes 50x more usage than Free, and Max includes 5x more usage than Pro. Session limits reset every 5 hours and weekly limits reset every 7 days across all tiers.
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.
SourceOllama: Does Ollama log or train on user data?
No, Ollama explicitly states that prompt or response data is never logged or trained on, protecting user privacy across all plans.
SourceRelated pages
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