DataikuThe Platform for AI Success
vs
LangGraphLow-level orchestration framework and runtime for long-running, stateful agents.
Comparison · AI Agents · weekly run Nov 3
Dataiku vs LangGraph
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
LangGraph is the stronger AI pick in AI Agents: it has a visibility score of 24.4 versus 1.7 for Dataiku, and ranks ahead in 100% of the answers that name both.
Choose Dataiku if…
- AI answers describe it more positively (48% vs 44% positive)
- You need ISO 27701:2019 or SOC 1 Type II or GxP coverage
- Bridges data scientists and business teams for collaboration
- End-to-end governance and operationalization
Choose LangGraph if…
- You want the brand AI engines rank higher (24.4 vs 1.7)
- You need a self-hosted or on-premises option
- Production standard for stateful, multi-agent workflows
- Strong engineering control for complex, cyclical agent logic
AI visibility side by side
Latest weekly run · Nov 3
| Metric | Dataiku | LangGraph |
|---|---|---|
| Visibility score | 1.7% | 24.4% |
| Change vs last week | New | New |
| Rank in AI Agents | #46 | #4 |
| Share of voice | 0.7% | 5.3% |
| Mentions this run | 5 | 33 |
| Positive in AI answers | 48% | 44% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Dataiku 0pp · LangGraph 0pp over 0 weekly runs.
Engine by engine
LangGraph leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
DataikuLangGraph
Head to head in AI answers
1 engine answers name both brands
0Dataiku ranked higher
1LangGraph ranked higher
| Prompt | Engine | Dataiku | LangGraph |
|---|---|---|---|
| Best AI agent platform for enterprise | Perplexity | #17 | #7 |
Features, pricing & fit
| Dimension | Dataiku | LangGraph |
|---|---|---|
| Deployment | Runs on the clouds, data platforms and models a customer already has | SaaS in US and EU regions, plus self-hosted and hybrid options available on Enterprise only. |
| Compliance | ISO 27001:2022, ISO 27701:2019, SOC 1 Type II, SOC 2 Type II, HIPAA, GxP, GDPR | SOC 2 Type II, ISO 27001:2022, GDPR, HIPAA |
| Founded | 2013 | — |
| Headquarters | New York City, NY | San Francisco |
| Employees | 1,001–5,000 | — |
| Funding | Series E · $600M raised | Series B |
| Best for | Large enterprises, including highly regulated ones, where business experts and IT need to build AI together under central governance | Teams building long-running, stateful AI agents. |
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
LangGraph
- Production standard for stateful, multi-agent workflows
- Strong engineering control for complex, cyclical agent logic
- Widely adopted open-source developer framework
- Best choice for autonomous AI agents
- Heavy developer framework that requires coding effort
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Dataiku vs LangGraph”, https://slateindex.ai/compare/dataiku-vs-langgraph, data of Nov 3, 2026. Licence: CC BY 4.0.