kitio.aiKaggle vs BigML
A side-by-side look at pricing plans, free tiers, features, pros and cons, updated for 2026. Kaggle is completely free, while BigML is freemium.
At a glance
Best for
Category
Pricing model
Starting price
Free plan
Made by
Based in
Rating
Key features
- Cloud Jupyter notebooks
- Free GPU and TPU quota
- Public datasets and models
- ML competitions
- Notebook forking and sharing
- Visual model building
- REST API
- WhizzML workflow automation
- Exportable models
- Private deployments
- Organisation accounts
| Feature | Kaggle | BigML |
|---|---|---|
| Best for | Free cloud notebooks, datasets and competitions for machine learning | Point-and-click machine learning platform with API and private deploys |
| Category | Data & analytics | Data & analytics |
| Pricing model | Free | Freemium |
| Starting price | Free | See pricing page |
| Free plan | Yes, fully free | Yes |
| Made by | BigML, Inc. | |
| Based in | United States | United States |
| Rating | No ratings yet | No ratings yet |
| Key features |
|
|
Pricing compared
Kaggle is completely free, while BigML is freemium.
Free plan
Cheapest paid plan
Top plan
Free trial
3 plans
Free
Free
- Unlimited tasks
- 16 MB per dataset
- 1 parallel task
BigML Lite
$10,000/yr
- Private deployment
- 5 users, 1 server
- Email and chat support
Bronze Enterprise
$45,000/yr
- Private deployment
- Up to 8 cores
- 24-hour response time
Prices in USD, checked Nov 5, 2026 or later. Plans change often, so confirm on each tool's site before you buy.
Pros and cons
Kaggle
- Free GPUs without setup
- Huge catalog of ready datasets
- Learn from thousands of public notebooks
- Weekly limits on GPU and TPU hours
- Sessions time out on long jobs
- Less flexible than your own cloud setup
BigML
- Free tier with unlimited tasks
- Interpretable models you can export
- Can run on your own infrastructure
- Free plan limited to 16 MB datasets
- Private deployments cost thousands per year
- Subscription prices vary by dataset size and tasks
Which one should you choose?
Choose Kaggle if you want:
- Free GPUs without setup
- Huge catalog of ready datasets
- Learn from thousands of public notebooks
Watch out: weekly limits on gpu and tpu hours.
Choose BigML if you want:
- Free tier with unlimited tasks
- Interpretable models you can export
- Can run on your own infrastructure
Watch out: free plan limited to 16 mb datasets.
Kaggle vs BigML FAQ
What is the difference between Kaggle and BigML?
Kaggle: Free cloud notebooks, datasets and competitions for machine learning. BigML: Point-and-click machine learning platform with API and private deploys. Both are data & analytics tools.
Is Kaggle or BigML cheaper?
Kaggle is completely free, while BigML is freemium.
Do Kaggle and BigML have free plans?
Kaggle: Yes, fully free. BigML: Yes.
Who makes Kaggle?
Kaggle is made by Google, based in United States.
Who makes BigML?
BigML is made by BigML, Inc., based in United States.
Which should I choose, Kaggle or BigML?
Choose Kaggle if you value free gpus without setup and huge catalog of ready datasets. Choose BigML if you value free tier with unlimited tasks and interpretable models you can export.