Dataiku vs H2O.ai
A side-by-side look at scores, pricing and features — with RECATOOLS' ASEAN-aware verdict for each.
Dataiku
One governed workspace where analysts and engineers build analytics, M...
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H2O.ai
Free Apache-2.0 AutoML engine, plus a quoted enterprise platform for p...
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| RECATOOLS Score | 7.3 / 10 | 7.2 / 10 |
| Capability | — | — |
| Value for money | — | — |
| Ease of use | — | — |
| ASEAN readiness | — | — |
| API quality | — | — |
| Pricing | Freemium | Freemium |
| Free tier | Free Edition to install on Mac or Linux (Windows experimental); 14-day hosted trial, no card, excluding Govern and advanced LLM Mesh | H2O-3 open source under Apache 2.0: all algorithms, AutoML and distributed training, self-hosted with community support |
| Paid from | Quoted on request (Agent Management priced per instance per year) | Quoted on request: annual licence based on compute and memory, not per token |
| Has API | ✓ | ✓ |
| Open source | ✗ | ✓ |
| Free to use | ✓ | ✓ |
| Users | ~750 enterprise customers (2026) | 20,000+ global organizations, 1M+ data scientists |
| Founded | 2013 | 2012 |
| Maker | Florian Douetteau, Clément Stenac, Thomas Cabrol, Marc Batty | Sri Ambati, Cliff Click, Arno Candel |
| Verdict | Dataiku's case is still collaboration across skill levels: a visual Flow for analysts and code recipes for engineers in one governed project, now extended with Cobuild for building from plain-language goals and Agent Man... |
H2O-3 remains one of the most capable free machine-learning engines available: distributed training, a sensible AutoML baseline and Python, R and JVM interfaces under Apache 2.0, with no usage cap. Production extras such... |
| Full review → | Full review → |
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Comparisons cover up to 4 tools. Scores are RECATOOLS editorial assessments; verify current pricing on each vendor's site.