Head-to-head · Predictive Analytics Software
H2O Driverless AI vs BigML
H2O Driverless AI leads on 0 checks, BigML on 1, and 5 are even. Who comes out ahead on the 6 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreH2O Driverless AI · 8.8/10
- Free planonly BigML
- Free trialboth
H2O Driverless AI scores higher on our rubric for predictive analytics software: 8.8 against 7.6 out of 10; our editors rank them #7 and #18.
BigML offers free plan; H2O Driverless AI doesn't. On deployment mode, H2O Driverless AI gives you Batch_and_real-time where BigML offers Real-time.
H2O Driverless AI is the better fit for automated modeling with strong interpretability. BigML is the better fit for teams wanting a flexible low-code predictive platform.
- H2O Driverless AI fits best
Automated modeling with strong interpretability
- BigML fits best
Teams wanting a flexible low-code predictive platform
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Side by side
| Feature | H2O Driverless AI 8.8/10 Visit ↗ | BigML 7.6/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 8.8 | 7.6 |
| Ranking | #7 in Predictive Analytics Software | #18 in Predictive Analytics Software |
| Best for | Automated modeling with strong interpretability | Teams wanting a flexible low-code predictive platform |
| Pricing model | Paid | Free plan + paid |
| Starting price | Pricing on request · 21-day trial | $10,000/yr |
| Free plan | — | ✓ (best) |
| Free trial | 21 days | 3 days |
| Free trial length | 21 days | 3 days · no card needed |
| Deployment | Cloud, Self-hosted | Cloud, Self-hosted, Desktop |
| Platforms | Web, Windows, macOS, Linux | Web, macOS |
| Support | Community, Docs | Email, Live chat, Phone · 24/7 |
| Integrations | 14 integrations | 15 integrations |
| Built for | Mid-market, Enterprise | Small business, Mid-market, Enterprise |
| Features H2O Driverless AI 5/5 · BigML 5/5 | ||
| Forecasting workflows | ✓ | ✓ |
| Model evaluation | ✓ | ✓ |
| Automated machine learning | ✓ | ✓ |
| Time-series modeling | ✓ | ✓ |
| API access | ✓ | ✓ |
| Specs | ||
| Deployment mode | Batch_and_real-time | Real-time |
| Data connectors | Not checked yet | 4 |
| Our review | ||
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| Our verdict | H2O Driverless AI is an enterprise automated machine-learning platform for data scientists, analysts, and IT teams. It supports tabular predictive modeling and time-series forecasting while automating feature engineering, model validation,… Read the review → |
BigML is a cloud and deployable machine learning platform for analysts, developers, scientists, and organizations. It covers classification, regression, time-series forecasting, clustering, anomaly detection, association discovery, topic… Read the review → |
Strengths and trade-offs
H2O Driverless AI — where it wins
- Automates feature engineering, validation, tuning, and model selection
- Provides forecasting, explanations, visualizations, and custom recipes
- Supports REST deployment, scoring artifacts, and Python and R APIs
Where it doesn't
- Pricing requires contacting sales
- No free plan is available
- Support status should be verified before purchase
BigML — where it wins
- Free plan includes unlimited tasks and resources
- Supports forecasting, AutoML, evaluation, and explainability
- Cloud, on-premises, private-cloud, API, and self-hosted options
Where it doesn't
- Paid entry starts at $1,000 per month
- Free tasks are limited to 16 MB datasets and two parallel tasks
- BigML Lite is limited to five users and one organization
- H2O Driverless AI8.8/10 · Pricing on request · 21-day trial
Automated modeling with interpretability, forecasting, and deployment for technical teams.
Visit H2O.aiFull verdict → - BigML7.6/10 · Free plan · 3-day trial
A flexible low-code predictive platform with broad modeling, automation, and deployment options.
Visit BigMLFull verdict →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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