Home / Directory / AI SaaS tooling / Analytics & decision automation / Dataiku
Dataiku
Enterprise AI and analytics decision platform covering visual flows, AutoML, MLOps, governance, and generative AI (LLM Mesh) from design through operate.
Enterprises that want visual and code-first teams collaborating on analytics and AI projects with governance, deployment, and LLM Mesh options.
Small teams that only need a cheap collaborative notebook, or buyers who refuse multi-month platform rollouts.
Verdict
Dataiku is a good fit for organizations standardizing analytics and AI workbenches across citizen and pro users. Paid packaging is sales-quoted after a Free Edition and a limited cloud trial, so commercial clarity is weaker than Hex even though product breadth is high. Practitioners praise the visual flow plus code handoff; complexity and platform cost are the usual tradeoffs versus lighter decision-automation tools.
Score Breakdown
How Dataiku scores in the categories that matter to its buyers.
Pricing
Dataiku publishes a Free Edition (local) and a time-limited Dataiku Cloud trial, then routes Business, Enterprise, and Govern to sales. No public USD seat card appears on dataiku.com as of September 2026.
Model: Free Edition (local, limited), Cloud trial (14 days, capped users/compute), then quote-led Business / Enterprise / Govern plus LLM Mesh options. Marketplace listings are private-offer only. Treat third-party dollar bands as estimates, not list prices.
The Field at a Glance
Where Dataiku ranks among Analytics & decision automation vendors we reviewed, by Overall Score and relative typical engagement cost.
Dataiku scores 7.4, behind Hex (8.2) and ahead of Alteryx (7.1) and Tellius (6.9). Relative typical engagement cost is at the high end of this set when teams move past Free Edition into governed enterprise contracts.
Use-case matrix
| Use case | Fit | Notes |
|---|---|---|
| End-to-end analytics + AI workbench | Strong | An end-to-end platform is Dataiku's core pitch. |
| Governed AutoML and MLOps | Strong | Enterprise strength. |
| Lightweight notebook-to-app publishing | Mixed | Possible; Hex is leaner. |
| Self-serve seat pricing without sales | Poor | Paid tiers are quote-led. |
Review Excerpts
Representative buyer views drawn from public information about Dataiku. Paid reviews and pay-for-play sites were excluded.
“Analysts and data scientists work in the same project, from visual flows to AutoML to governed deployment.”
Representative buyer view
“We started on Free Edition for a proof of concept and moved to a paid tier for production.”
Representative buyer view
“Paid tiers are quote-led, and the platform is a lot to stand up for a small team.”
Representative buyer view
Where customer reviews couldn't be found, our analysts attempted to give a voice to buyer sentiment, drawing on real information from review sites, forums, and product documentation.
Based on: Dataiku’s website
Company Facts
- Founded
- 2013 (CB Insights)
- Headquarters
- New York, New York, United States (CB Insights)
- Total funding raised
- $864.6M (CB Insights)
- Key investors
- NVIDIA DGX-Ready Managed Services, FirstMark, Battery Ventures, Dawn Capital (CB Insights)
- Customers
- Banker's Bank, Unilever, US Venture, Floa Bank and Thrive SPC (CB Insights)
- Website
- dataiku.com
Key Leadership
Florian Douetteau
Co-founder and CEO
Methodology
This page is an independent evaluation of Dataiku for buyers comparing options in analytics & decision automation. AI Industry Reviews accepts no sponsorships, advertising, or pay-for-placement fees. Dataiku did not pay for this review.
What we scored
The headline number is an Overall Score on a 0-10 scale. Eight criteria fall under it in two groups.
- Buyer outcomes (for analytics & decision automation)
- Automated insights & NLQ
- Decision & analytic workflows
- Governance & semantic layer
- Time-to-value / learning curve
- Company & commercial
- Innovation & product leadership
- Project management & communication
- Pricing
- Contract fairness
Pricing measures whether the price looks fair for the value delivered, including packaging and renewal friction that show up in real buying cycles.
Score Composition
| Input | Weight | What it covers |
|---|---|---|
| Reviews | 40% | A proprietary read of what practitioners say about likes, complaints, and day-to-day use, including public review sites, forums, and private chat rooms. Paid reviews and pay-for-play sites are out of scope. |
| Product | 35% | Hands-on look at screens and workflows. |
| Pricing | 15% | Whether the price looks fair for what you get. |
| Docs & training | 10% | Docs, tutorials, and training material. |
How we balanced the evidence
The Overall Score is the simple average of the eight criteria. Recommendation language follows that score and the use-case matrix above.
Scope
Dataiku is graded here as analytics & decision automation. Criteria scores can move as more review volume and product checks are added.