DataikuThe Platform for AI Success
vs
Microsoft AutoGenOpen-source framework for building and coordinating multi-agent AI applications
Comparison · AI Agents · weekly run Nov 3
Dataiku vs Microsoft AutoGen
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Microsoft AutoGen is the stronger AI pick in AI Agents: it has a visibility score of 4.5 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 AutoGen if…
- You want the brand AI engines rank higher (4.5 vs 1.7)
- You prefer a larger, established vendor (5,000+ employees)
- high-concurrency asynchronous multi-agent conversations
- enterprise-grade scaling
AI visibility side by side
Latest weekly run · Nov 3
| Metric | Dataiku | Microsoft AutoGen |
|---|---|---|
| Visibility score | 1.7% | 4.5% |
| Change vs last week | New | New |
| Rank in AI Agents | #46 | #26 |
| Share of voice | 0.7% | 1.2% |
| Mentions this run | 5 | 6 |
| 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 AutoGen 0pp over 0 weekly runs.
Engine by engine
Microsoft AutoGen leads on 1 of 3 engines
ChatGPT
AI Mode
Perplexity
DataikuMicrosoft AutoGen
Head to head in AI answers
0 engine answers name both brands
0Dataiku ranked higher
0Microsoft AutoGen ranked higher
Features, pricing & fit
| Dimension | Dataiku | Microsoft AutoGen |
|---|---|---|
| Deployment | Runs on the clouds, data platforms and models a customer already has | Open-source Python library |
| Compliance | ISO 27001:2022, ISO 27701:2019, SOC 1 Type II, SOC 2 Type II, HIPAA, GxP, GDPR | — |
| Founded | 2013 | 2023 |
| 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 AutoGen
- high-concurrency asynchronous multi-agent conversations
- enterprise-grade scaling
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Dataiku vs Microsoft AutoGen”, https://slateindex.ai/compare/dataiku-vs-microsoft-autogen, data of Nov 3, 2026. Licence: CC BY 4.0.