DataikuThe Platform for AI Success
vs
DataRobotThe platform enterprises trust to build, operate, and govern their agents.
Comparison · MLOps Platforms · weekly run Nov 2
Dataiku vs DataRobot
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 5.6 for DataRobot, and ranks ahead in 80% of the answers that name both.
Choose Dataiku if…
- You want the brand AI engines rank higher (8.5 vs 5.6)
- AI answers describe it more positively (48% vs 27% positive)
- You need ISO 27001:2022 or ISO 27701:2019 or SOC 1 Type II or GxP or GDPR coverage
- You prefer a larger, established vendor (1,001–5,000 employees)
Choose DataRobot if…
- You need a self-hosted or on-premises option
- You need ISO 27001 coverage
- Automated machine learning (AutoML) capabilities
- Robust enterprise monitoring and governance features
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Dataiku | DataRobot |
|---|---|---|
| Visibility score | 8.5% | 5.6% |
| Change vs last week | New | New |
| Rank in MLOps Platforms | #12 | #16 |
| Share of voice | 2.9% | 2.1% |
| Mentions this run | 20 | 14 |
| Positive in AI answers | 48% | 27% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Dataiku 0pp · DataRobot 0pp over 0 weekly runs.
Engine by engine
Dataiku leads on 2 of 3 engines
ChatGPT
AI Mode
Perplexity
DataikuDataRobot
Head to head in AI answers
10 engine answers name both brands
8Dataiku ranked higher
2DataRobot ranked higher
| Prompt | Engine | Dataiku | DataRobot |
|---|---|---|---|
| What are the best MLOps Platforms tools in 2026? | AI Mode | #8 | #9 |
| Compare the leading MLOps Platforms platforms | Perplexity | #9 | #11 |
| Most affordable MLOps platform that is still reliable | AI Mode | #2 | #1 |
| Best MLOps platform with AI features | ChatGPT | #8 | #11 |
| Which MLOps Platforms vendors do analysts recommend? | ChatGPT | #5 | #6 |
| Which MLOps Platforms vendors do analysts recommend? | AI Mode | #7 | #8 |
| Official website of the top MLOps platform vendors | ChatGPT | #7 | #6 |
| Official website of the top MLOps platform vendors | AI Mode | #7 | #8 |
| Official website of the top MLOps platform vendors | Perplexity | #7 | #8 |
| Is Altair RapidMiner a good MLOps platform? | ChatGPT | #6 | #7 |
Features, pricing & fit
| Dimension | Dataiku | DataRobot |
|---|---|---|
| Deployment | Runs on the clouds, data platforms and models a customer already has | Cloud, hybrid, on-premises, and air-gapped environments |
| Compliance | ISO 27001:2022, ISO 27701:2019, SOC 1 Type II, SOC 2 Type II, HIPAA, GxP, GDPR | ISO 27001, SOC 2 Type II, HIPAA |
| Support | — | Online documentation, Support center |
| Founded | 2013 | 2012 |
| Headquarters | New York City, NY | Boston, Massachusetts, USA |
| Employees | 1,001–5,000 | 501–1,000 |
| Funding | Series E · $600M raised | Corporate minority round (SBI Holdings) |
| Best for | Large enterprises, including highly regulated ones, where business experts and IT need to build AI together under central governance | Large enterprises in regulated industries that need to take agentic AI from pilot into production. |
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
DataRobot
- Automated machine learning (AutoML) capabilities
- Robust enterprise monitoring and governance features
- Good fit for governed AutoML in regulated industries
- Analyst-friendly workflows for business users
- Free trial available
- Steep platform fees that scale aggressively
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Dataiku vs DataRobot”, https://slateindex.ai/compare/dataiku-vs-datarobot, data of Nov 2, 2026. Licence: CC BY 4.0.