Pecan AI vs Dataiku
A side-by-side look at scores, pricing and features — with RECATOOLS' ASEAN-aware verdict for each.
Pecan AI
No-code predictive models for churn, LTV, and demand forecasts
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Dataiku
One workspace where coders and business analysts build the same AI pro...
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| RECATOOLS Score | 6.8 / 10 | 7.3 / 10 |
| Capability | — | |
| Value for money | — | |
| Ease of use | — | |
| ASEAN readiness | — | |
| API quality | — | |
| Pricing | Subscription | Freemium |
| Free tier | — | Free Edition — self-hosted, up to 3 users, no deployment/governance features |
| Paid from | — | Custom quote; est. from ~€50K/year (platform tier) |
| Has API | ✓ | ✓ |
| Open source | ✗ | ✗ |
| Free to use | ✗ | ✓ |
| Users | — | ~750 enterprise customers (2026) |
| Founded | 2018 | 2013 |
| Maker | — | Florian Douetteau, Clément Stenac, Thomas Cabrol, Marc Batty |
| Verdict | Pecan automates the unglamorous parts of predictive modeling — feature engineering, algorithm selection, deployment — so an analyst who knows SQL can ship a churn or lifetime-value model without hiring a data science tea... |
Dataiku's pitch is collaboration across skill levels, and reviewers say it delivers on it. The visual flow lets an analyst prep data and wire a pipeline without code, while an engineer drops into Python, R or SQL on the... |
| 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.