Software · head to head
Ollama vs Domino Data Lab

Ollama
Software
Open-source tool for running LLMs locally on desktop and servers
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Ollama requires user to provide computational hardware; no free cloud compute; models may not fit in available RAM on typical machines; 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
Where they differ
Only the attributes on which Ollama and Domino Data Lab actually diverge.
| Attribute | Ollama | Domino Data Lab |
|---|---|---|
| Pricing model | open-source | subscription |
| Platforms | macOS, Windows, Linux, Cloud (AWS, Google Cloud, Azure, self-hosted) | Web |
| Founded | Unknown | 2013 |
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 Ollama
Nothing recorded that Domino Data Lab does not also cover.
Only in Domino Data Lab
- Reproducible environments
- Model registry
- Model monitoring
- Collaboration
- Governance
- AWS
- Azure
- GCP
What people use each for
The jobs each tool is most often brought in to do.
Ollama
- Local development and testing without API costs or rate limitsnot Domino Data Lab
- Privacy-sensitive applications requiring data to remain on-devicenot Domino Data Lab
- Cost-sensitive deployments where computational resources are already availablenot Domino Data Lab
- Fully offline environments or air-gapped networksnot Domino Data Lab
Domino Data Lab
- Running reproducible data science workspaces and experiments on shared computenot Ollama
- Deploying and monitoring models with governance controlsnot Ollama
- Giving regulated enterprises a self managed MLOps platformnot Ollama
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
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
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
Pricing, plan by plan
Ollama
FreeNo published plan breakdown. See the Ollama review.
Domino Data Lab
Free- TrialFree
- 14-day trial
- Full features
- EnterpriseFree
- Full platform
- Enterprise support
- SLA
Which should you pick?
Choose Ollama if
- You want to start without paying.
- You work on macOS, Windows, Linux, Cloud (AWS, Google Cloud, Azure, self-hosted).
Choose Domino Data Lab if
- You need reproducible environments.
- You want to start without paying.
- You also want model registry.
Questions people ask
- Is Ollama or Domino Data Lab better?
- Neither clearly leads. Ollama starts at Free and Domino Data Lab at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Ollama or Domino Data Lab?
- Ollama starts at Free and Domino Data Lab at Free.
- Does Ollama or Domino Data Lab run on more platforms?
- Ollama runs on macOS, Windows, Linux, Cloud (AWS, Google Cloud, Azure, self-hosted). Domino Data Lab runs on Web.
- Can I use Ollama for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Ollama best used for?
- Ollama is most often used for local development and testing without api costs or rate limits, privacy-sensitive applications requiring data to remain on-device, cost-sensitive deployments where computational resources are already available, fully offline environments or air-gapped networks. Of those, local development and testing without api costs or rate limits and privacy-sensitive applications requiring data to remain on-device are not what Domino Data Lab is typically brought in for.
- What can Ollama do that Domino Data Lab cannot?
- Domino Data Lab covers Reproducible environments, Model registry, Model monitoring, Collaboration.
Related pages
More on Domino Data Lab
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