Arize vs Dataiku
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Dataiku is the stronger AI pick in MLOps Platforms: it has a visibility score of 8.5 versus 1.5 for Arize, and ranks ahead in 100% of the answers that name both.
Choose Arize if…
- You need a self-hosted or on-premises option
- You need ISO 27001 or PCI DSS coverage
Choose Dataiku if…
- You want the brand AI engines rank higher (8.5 vs 1.5)
- AI answers describe it more positively (48% vs 20% positive)
- You need ISO 27001:2022 or ISO 27701:2019 or SOC 1 Type II or GxP coverage
- You prefer a larger, established vendor (1,001–5,000 employees)
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Arize | Dataiku |
|---|---|---|
| Visibility score | 1.5% | 8.5% |
| Change vs last week | New | New |
| Rank in MLOps Platforms | #34 | #12 |
| Share of voice | 0.7% | 2.9% |
| Mentions this run | 5 | 20 |
| Positive in AI answers | 20% | 48% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Arize 0pp · Dataiku 0pp over 0 weekly runs.
Engine by engine
Dataiku leads on 3 of 3 engines
Head to head in AI answers
2 engine answers name both brands
| Prompt | Engine | Arize | Dataiku |
|---|---|---|---|
| What are the best MLOps Platforms tools in 2026? | ChatGPT | #17 | #10 |
| Best MLOps platform with AI features | ChatGPT | #12 | #8 |
Features, pricing & fit
| Dimension | Arize | Dataiku |
|---|---|---|
| Pricing model | Flat tiers | — |
| Entry price | Free; paid from $50 / mo | — |
| Free plan | Yes | — |
| Deployment | SaaS, with self-hosted deployment on the Enterprise plan; Phoenix runs locally or self-hosted. | Runs on the clouds, data platforms and models a customer already has |
| Integrations | 40+ | — |
| Compliance | SOC 2 Type II, ISO 27001, PCI DSS, HIPAA, GDPR | ISO 27001:2022, ISO 27701:2019, SOC 1 Type II, SOC 2 Type II, HIPAA, GxP, GDPR |
| Support | Community, Email, Dedicated support on Enterprise | — |
| Founded | 2020 | 2013 |
| Headquarters | — | New York City, NY |
| Employees | 51–200 | 1,001–5,000 |
| Funding | Series B-1 extension · $131M raised | Series E · $600M raised |
| Best for | AI engineering teams building and running production AI agents and LLM applications who need observability and evaluations. | Large enterprises, including highly regulated ones, where business experts and IT need to build AI together under central governance |
Plans side by side
Dataiku
Pricing not available.
Pros and cons
Themes from the AI answers that mention each brand
Arize
Profile in progress.
Dataiku
- Bridges data scientists and business teams for collaboration
- End-to-end governance and operationalization
- Broad enterprise MLOps platform
- Best for enterprise collaboration and governance
- Steep platform fees that scale aggressively
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Arize vs Dataiku”, https://slateindex.ai/compare/arize-vs-dataiku, data of Nov 2, 2026. Licence: CC BY 4.0.