DataikuThe Platform for AI Success
vs
MakeAI automation you can visually build and orchestrate in real time.
Comparison · AI Agents · weekly run Nov 3
Dataiku vs Make
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Make is the stronger AI pick in AI Agents: it has a visibility score of 17 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 41% positive)
- You need ISO 27001:2022 or ISO 27701:2019 or SOC 1 Type II or HIPAA or GxP coverage
- You prefer a larger, established vendor (1,001–5,000 employees)
- Bridges data scientists and business teams for collaboration
Choose Make if…
- You want the brand AI engines rank higher (17 vs 1.7)
- You need SOC 3 or ISO 27001 coverage
- Free tier with 1,000 credits per month
- Transparent pricing with paid plans from $12/month
AI visibility side by side
Latest weekly run · Nov 3
| Metric | Dataiku | Make |
|---|---|---|
| Visibility score | 1.7% | 17% |
| Change vs last week | New | New |
| Rank in AI Agents | #46 | #9 |
| Share of voice | 0.7% | 3.6% |
| Mentions this run | 5 | 24 |
| Positive in AI answers | 48% | 41% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Dataiku 0pp · Make 0pp over 0 weekly runs.
Engine by engine
Make leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
DataikuMake
Head to head in AI answers
2 engine answers name both brands
0Dataiku ranked higher
2Make ranked higher
| Prompt | Engine | Dataiku | Make |
|---|---|---|---|
| Best AI agent platform for enterprise | Perplexity | #17 | #13 |
| Which AI agent platform has the best reviews? | Perplexity | #8 | #6 |
Features, pricing & fit
| Dimension | Dataiku | Make |
|---|---|---|
| Deployment | Runs on the clouds, data platforms and models a customer already has | Cloud, hosted on Amazon AWS |
| Integrations | — | 3500+ |
| Compliance | ISO 27001:2022, ISO 27701:2019, SOC 1 Type II, SOC 2 Type II, HIPAA, GxP, GDPR | GDPR, SOC 2 Type II, SOC 3, ISO 27001 |
| Support | — | Help center, Community forum, 24/7 support on Enterprise plans, Dedicated support team on Enterprise plans |
| Founded | 2013 | 2012 |
| Headquarters | New York City, NY | Prague, Czech Republic |
| Employees | 1,001–5,000 | 201–500 |
| 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 | Teams and organizations deploying AI and automation across the business, from a single department to company-wide. |
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
Make
- Free tier with 1,000 credits per month
- Transparent pricing with paid plans from $12/month
- Visual, no-code automation between existing apps
- Integrations with more than 3,000 apps
- Built-in AI agents for business workflows
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Dataiku vs Make”, https://slateindex.ai/compare/dataiku-vs-make, data of Nov 3, 2026. Licence: CC BY 4.0.