DataikuThe Platform for AI Success
vs
RasaBuild agents your company brags about
Comparison · AI Agents · weekly run Nov 3
Dataiku vs Rasa
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Rasa 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
- You prefer a larger, established vendor (1,001–5,000 employees)
- Bridges data scientists and business teams for collaboration
- End-to-end governance and operationalization
Choose Rasa if…
- You want the brand AI engines rank higher (2.4 vs 1.7)
- You need a self-hosted or on-premises option
AI visibility side by side
Latest weekly run · Nov 3
| Metric | Dataiku | Rasa |
|---|---|---|
| Visibility score | 1.7% | 2.4% |
| Change vs last week | New | New |
| Rank in AI Agents | #46 | #36 |
| Share of voice | 0.7% | 0.4% |
| Mentions this run | 5 | 3 |
| 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 · Rasa 0pp over 0 weekly runs.
Engine by engine
Rasa leads on 2 of 3 engines
ChatGPT
AI Mode
Perplexity
DataikuRasa
Head to head in AI answers
0 engine answers name both brands
0Dataiku ranked higher
0Rasa ranked higher
Features, pricing & fit
| Dimension | Dataiku | Rasa |
|---|---|---|
| Pricing model | — | Flat tiers |
| Entry price | — | Contact sales |
| Free plan | — | Yes |
| Deployment | Runs on the clouds, data platforms and models a customer already has | Self-managed on-premises or private cloud, or managed service |
| Compliance | ISO 27001:2022, ISO 27701:2019, SOC 1 Type II, SOC 2 Type II, HIPAA, GxP, GDPR | — |
| Support | — | Free community support in the forum, Basic support via online portal with best-effort response during business hours, Premium Support with 24/7/365 response, Customer Success Manager and business reviews |
| Founded | 2013 | 2016 |
| Headquarters | New York City, NY | San Francisco, CA, United States |
| Employees | 1,001–5,000 | 51–200 |
| Funding | Series E · $600M raised | Series C · $70M raised |
| Best for | Large enterprises, including highly regulated ones, where business experts and IT need to build AI together under central governance | Product teams in regulated enterprises that want engineers and business teams to build customer-facing AI agents on one codebase |
Plans side by side
Dataiku
Pricing not available.
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
Rasa
Profile in progress.
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Dataiku vs Rasa”, https://slateindex.ai/compare/dataiku-vs-rasa, data of Nov 3, 2026. Licence: CC BY 4.0.