DataikuThe Platform for AI Success
vs
Microsoft AzureData Warehouse
Comparison · AI Agents · weekly run Nov 3
Dataiku vs Microsoft Azure
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Microsoft Azure is the stronger AI pick in AI Agents: it has a visibility score of 2.4 versus 1.7 for Dataiku.
Choose Dataiku if…
- 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
- Broad enterprise MLOps platform
Choose Microsoft Azure if…
- You want the brand AI engines rank higher (2.4 vs 1.7)
- You need ISO 27001 or ISO 27017 or ISO 27018 or ISO 27701 or ISO 42001 or SOC 1 or SOC 2 or SOC 3 or FedRAMP or DoD IL2 through IL6 or StateRAMP or HITRUST or HIPAA/HITECH or PCI DSS or 23 NYCRR Part 500 coverage
- You prefer a larger, established vendor (5,000+ employees)
- Strong fit for Microsoft-centric enterprises using Power BI, Azure, and Microsoft 365
AI visibility side by side
Latest weekly run · Nov 3
| Metric | Dataiku | Microsoft Azure |
|---|---|---|
| Visibility score | 1.7% | 2.4% |
| Change vs last week | New | New |
| Rank in AI Agents | #46 | #37 |
| Share of voice | 0.7% | 0.6% |
| Mentions this run | 5 | 4 |
| 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 · Microsoft Azure 0pp over 0 weekly runs.
Engine by engine
Microsoft Azure leads on 2 of 3 engines
ChatGPT
AI Mode
Perplexity
DataikuMicrosoft Azure
Head to head in AI answers
0 engine answers name both brands
0Dataiku ranked higher
0Microsoft Azure ranked higher
Features, pricing & fit
| Dimension | Dataiku | Microsoft Azure |
|---|---|---|
| Deployment | Runs on the clouds, data platforms and models a customer already has | Cloud, hosted on Microsoft Azure |
| Compliance | ISO 27001:2022, ISO 27701:2019, SOC 1 Type II, SOC 2 Type II, HIPAA, GxP, GDPR | ISO 27001, ISO 27017, ISO 27018, ISO 27701, ISO 42001, SOC 1, SOC 2, SOC 3, FedRAMP, DoD IL2 through IL6, StateRAMP, HITRUST, HIPAA/HITECH, PCI DSS, 23 NYCRR Part 500 |
| Founded | 2013 | — |
| Headquarters | New York City, NY | Redmond, Washington (parent: Microsoft) |
| Employees | 1,001–5,000 | 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
Microsoft Azure
- Strong fit for Microsoft-centric enterprises using Power BI, Azure, and Microsoft 365
- Unified analytics service combining data integration, warehousing, and big data analytics
- Azure AI ecosystem integration
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Dataiku vs Microsoft Azure”, https://slateindex.ai/compare/dataiku-vs-microsoft-azure, data of Nov 3, 2026. Licence: CC BY 4.0.