Dataiku vs Google Gemini Enterprise
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Google Gemini Enterprise is the stronger AI pick in AI Agents: it has a visibility score of 19.4 versus 1.7 for Dataiku, and ranks ahead in 100% of the answers that name both.
Choose Dataiku if…
- You need ISO 27001:2022 or ISO 27701:2019 or SOC 1 Type II or SOC 2 Type II or GxP or GDPR coverage
- Bridges data scientists and business teams for collaboration
- End-to-end governance and operationalization
- Broad enterprise MLOps platform
Choose Google Gemini Enterprise if…
- You want the brand AI engines rank higher (19.4 vs 1.7)
- AI answers describe it more positively (60% vs 48% positive)
- You need FedRAMP or ISO 27001 or ISO 27017 or ISO 27018 or ISO 27701 or SOC 1 or SOC 2 or SOC 3 or PCI DSS or BSI C5:2020 coverage
- Enterprise-grade infrastructure for building agents
AI visibility side by side
Latest weekly run · Nov 3
| Metric | Dataiku | Google Gemini Enterprise |
|---|---|---|
| Visibility score | 1.7% | 19.4% |
| Change vs last week | New | New |
| Rank in AI Agents | #46 | #6 |
| Share of voice | 0.7% | 4.3% |
| Mentions this run | 5 | 28 |
| Positive in AI answers | 48% | 60% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Dataiku 0pp · Google Gemini Enterprise 0pp over 0 weekly runs.
Engine by engine
Google Gemini Enterprise leads on 3 of 3 engines
Head to head in AI answers
3 engine answers name both brands
| Prompt | Engine | Dataiku | Google Gemini Enterprise |
|---|---|---|---|
| Best AI agent platform for enterprise | Perplexity | #17 | #3 |
| Which AI Agents vendors do analysts recommend? | ChatGPT | #25 | #2 |
| Which AI Agents vendors do analysts recommend? | Perplexity | #12 | #5 |
Features, pricing & fit
| Dimension | Dataiku | Google Gemini Enterprise |
|---|---|---|
| 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 | HIPAA, FedRAMP, ISO 27001, ISO 27017, ISO 27018, ISO 27701, SOC 1, SOC 2, SOC 3, PCI DSS, BSI C5:2020 |
| Founded | 2013 | 2025 |
| Headquarters | New York City, NY | — |
| Employees | 1,001–5,000 | — |
| Funding | Series E · $600M raised | — |
| Best for | Large enterprises, including highly regulated ones, where business experts and IT need to build AI together under central governance | — |
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
Google Gemini Enterprise
- Enterprise-grade infrastructure for building agents
- Free trial credits for new customers
- Rated Exemplary by ISG
- Native connectors to databases and cloud storage
- End-to-end agent development and deployment
- High base and per-action costs
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Dataiku vs Google Gemini Enterprise”, https://slateindex.ai/compare/dataiku-vs-google-gemini-enterprise, data of Nov 3, 2026. Licence: CC BY 4.0.