H2O.ai vs DataRobot
A side-by-side look at scores, pricing and features — with RECATOOLS' ASEAN-aware verdict for each.
H2O.ai
Apache-2.0 AutoML core, with a paid enterprise stack for private gener...
Visit
|
DataRobot
AutoML pioneer turned enterprise agentic-AI and governance platform
Visit
|
|
|---|---|---|
| RECATOOLS Score | 7.2 / 10 | 7 / 10 |
| Capability | — | — |
| Value for money | — | — |
| Ease of use | — | — |
| ASEAN readiness | — | — |
| API quality | — | — |
| Pricing | Freemium | Enterprise |
| Free tier | Free — H2O-3 open-source core, self-hosted, no restrictions | 14-day free trial with limited compute hours; no permanent free tier |
| Paid from | Free core; commercial (Driverless AI/h2oGPTe) from ~$60K/yr custom quote | Custom quote; est. from ~$2,500/mo, Enterprise from ~$150K/yr |
| Has API | ✓ | ✓ |
| Open source | ✓ | ✗ |
| Free to use | ✓ | ✗ |
| Users | 20,000+ global organizations, 1M+ data scientists | 850+ enterprise customers (2026) |
| Founded | 2012 | 2012 |
| Maker | Sri Ambati, Cliff Click, Arno Candel | Jeremy Achin, Thomas DeGodoy |
| Verdict | The open-source half is the real draw. H2O-3 gives you distributed gradient boosting, GLMs, stacked ensembles and a solid AutoML routine under Apache 2.0, no usage cap, run it on your own hardware forever. Reviewers cons... |
One of the original AutoML names, DataRobot has spent 2025-2026 repositioning around an 'Agent Workforce' platform (co-engineered with Nvidia) and LLM governance — a sensible pivot as pure AutoML commoditized. What still... |
| Full review → | Full review → |
← Back to AI Directory
Comparisons cover up to 4 tools. Scores are RECATOOLS editorial assessments; verify current pricing on each vendor's site.