Dataiku vs SuperAnnotate
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 2.1 for SuperAnnotate, and ranks ahead in 0% of the answers that name both.
Choose Dataiku if…
- You want the brand AI engines rank higher (8.5 vs 2.1)
- You need ISO 27701:2019 or SOC 1 Type II or HIPAA or GxP or GDPR coverage
- Bridges data scientists and business teams for collaboration
- End-to-end governance and operationalization
Choose SuperAnnotate if…
- high rating from many reviews
- well suited to data labeling and annotation workflows
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Dataiku | SuperAnnotate |
|---|---|---|
| Visibility score | 8.5% | 2.1% |
| Change vs last week | New | New |
| Rank in MLOps Platforms | #12 | #28 |
| Share of voice | 2.9% | 0.3% |
| Mentions this run | 20 | 2 |
| Positive in AI answers | 48% | — |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Dataiku 0pp · SuperAnnotate 0pp over 0 weekly runs.
Engine by engine
Dataiku leads on 3 of 3 engines
Head to head in AI answers
1 engine answers name both brands
| Prompt | Engine | Dataiku | SuperAnnotate |
|---|---|---|---|
| Which MLOps platform has the best reviews? | ChatGPT | #5 | #2 |
Features, pricing & fit
| Dimension | Dataiku | SuperAnnotate |
|---|---|---|
| Pricing model | — | Flat tiers |
| Entry price | — | Contact sales |
| Free plan | — | No |
| Deployment | Runs on the clouds, data platforms and models a customer already has | — |
| Compliance | ISO 27001:2022, ISO 27701:2019, SOC 1 Type II, SOC 2 Type II, HIPAA, GxP, GDPR | SOC 2 Type II, ISO 27001:2022 |
| Support | — | Dedicated Slack channel (Pro and Enterprise plans), Dedicated customer success manager (Pro and Enterprise plans), Dedicated solutions engineer (Enterprise plan), AI DataOps consulting (Enterprise plan) |
| Founded | 2013 | 2018 |
| Headquarters | New York City, NY | Silicon Valley, California |
| Employees | 1,001–5,000 | — |
| Funding | Series E · $600M raised | Series B extension (Dell Technologies Capital) · $50M raised |
| Best for | Large enterprises, including highly regulated ones, where business experts and IT need to build AI together under central governance | Frontier AI teams and well-established enterprises running recurring, high-volume AI data projects. |
Plans side by side
Dataiku
Pricing not available.
Pros and cons
Themes from the AI answers that mention each brand
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
SuperAnnotate
- high rating from many reviews
- well suited to data labeling and annotation workflows
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Dataiku vs SuperAnnotate”, https://slateindex.ai/compare/dataiku-vs-superannotate, data of Nov 2, 2026. Licence: CC BY 4.0.