Dataiku vs Google Vertex AI
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Google Vertex AI is the stronger AI pick in MLOps Platforms: it has a visibility score of 33.1 versus 8.5 for Dataiku, and ranks ahead in 100% of the answers that name both.
Choose Dataiku if…
- AI answers describe it more positively (48% vs 31% positive)
- You need ISO 27001:2022 or ISO 27701:2019 or SOC 1 Type II or SOC 2 Type II or HIPAA or GxP or GDPR coverage
- Bridges data scientists and business teams for collaboration
- End-to-end governance and operationalization
Choose Google Vertex AI if…
- You want the brand AI engines rank higher (33.1 vs 8.5)
- You need ISO/IEC 27001 or ISO/IEC 27017 or ISO/IEC 27018 or ISO/IEC 27701 or ISO/IEC 42001 or SOC 1 or SOC 2 or SOC 3 or HIPAA-related attestations or PCI DSS or FedRAMP-related items coverage
- unified ML platform across the lifecycle
- strong Google Cloud integration
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Dataiku | Google Vertex AI |
|---|---|---|
| Visibility score | 8.5% | 33.1% |
| Change vs last week | New | New |
| Rank in MLOps Platforms | #12 | #5 |
| Share of voice | 2.9% | 7.2% |
| Mentions this run | 20 | 49 |
| Positive in AI answers | 48% | 31% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Dataiku 0pp · Google Vertex AI 0pp over 0 weekly runs.
Engine by engine
Google Vertex AI leads on 3 of 3 engines
Head to head in AI answers
17 engine answers name both brands
| Prompt | Engine | Dataiku | Google Vertex AI |
|---|---|---|---|
| What features matter most in an MLOps platform? | ChatGPT | #9 | #6 |
| What are the best MLOps Platforms tools in 2026? | ChatGPT | #10 | #3 |
| What are the best MLOps Platforms tools in 2026? | AI Mode | #8 | #4 |
| What are the best MLOps Platforms tools in 2026? | Perplexity | #10 | #3 |
| Best MLOps platform for enterprise | ChatGPT | #9 | #7 |
| Best MLOps platform for enterprise | AI Mode | #9 | #6 |
| Best MLOps platform for enterprise | Perplexity | #8 | #4 |
| Compare the leading MLOps Platforms platforms | ChatGPT | #9 | #3 |
| Compare the leading MLOps Platforms platforms | AI Mode | #9 | #5 |
| Compare the leading MLOps Platforms platforms | Perplexity | #9 | #5 |
| Best MLOps platform with AI features | ChatGPT | #8 | #2 |
| Best MLOps platform with AI features | AI Mode | #7 | #3 |
Features, pricing & fit
| Dimension | Dataiku | Google Vertex AI |
|---|---|---|
| Deployment | Runs on the clouds, data platforms and models a customer already has | Managed cloud service on Google Cloud |
| Compliance | ISO 27001:2022, ISO 27701:2019, SOC 1 Type II, SOC 2 Type II, HIPAA, GxP, GDPR | ISO/IEC 27001, ISO/IEC 27017, ISO/IEC 27018, ISO/IEC 27701, ISO/IEC 42001, SOC 1, SOC 2, SOC 3, HIPAA-related attestations, PCI DSS, FedRAMP-related items |
| Founded | 2013 | 2021 |
| Headquarters | New York City, NY | Mountain View, California, United States |
| 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 Vertex AI
- unified ML platform across the lifecycle
- strong Google Cloud integration
- strong support for generative and foundation models
- robust MLOps and agentic workflow support
- $300 starter credits
- less developer-centric for Python, Kubernetes and Git-based teams
- usage-based costs depend on compute, storage and API usage
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Dataiku vs Google Vertex AI”, https://slateindex.ai/compare/dataiku-vs-google-vertex-ai, data of Nov 2, 2026. Licence: CC BY 4.0.