DataikuThe Platform for AI Success
vs
GitHubThe home of software development
Comparison · MLOps Platforms · weekly run Nov 2
Dataiku vs GitHub
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
GitHub is the stronger AI pick in MLOps Platforms: it has a visibility score of 9 versus 8.5 for Dataiku, and ranks ahead in 50% of the answers that name both.
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 GitHub if…
- You want the brand AI engines rank higher (9 vs 8.5)
- You need a self-hosted or on-premises option
- You need SOC 1 Type 2 or SOC 2 Type 2 or ISO/IEC 27001 or CSA STAR Level 2 or PCI DSS or FedRAMP Tailored ATO coverage
- Most widely adopted CI/CD tool today
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Dataiku | GitHub |
|---|---|---|
| Visibility score | 8.5% | 9% |
| Change vs last week | New | New |
| Rank in MLOps Platforms | #12 | #11 |
| Share of voice | 2.9% | 2% |
| Mentions this run | 20 | 14 |
| Positive in AI answers | 48% | 48% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Dataiku 0pp · GitHub 0pp over 0 weekly runs.
Engine by engine
GitHub leads on 1 of 3 engines
ChatGPT
AI Mode
Perplexity
DataikuGitHub
Head to head in AI answers
4 engine answers name both brands
2Dataiku ranked higher
2GitHub ranked higher
| Prompt | Engine | Dataiku | GitHub |
|---|---|---|---|
| Best MLOps platform for enterprise | ChatGPT | #9 | #6 |
| Best MLOps platform for enterprise | AI Mode | #9 | #5 |
| Compare the leading MLOps Platforms platforms | ChatGPT | #9 | #11 |
| Most affordable MLOps platform that is still reliable | AI Mode | #2 | #9 |
Features, pricing & fit
| Dimension | Dataiku | GitHub |
|---|---|---|
| Pricing model | — | Per seat |
| Entry price | — | Free; paid from $4 per seat / mo |
| Free plan | — | Yes |
| Deployment | Runs on the clouds, data platforms and models a customer already has | Cloud service (GitHub.com and GitHub Enterprise Cloud) and self-hosted GitHub Enterprise Server |
| Compliance | ISO 27001:2022, ISO 27701:2019, SOC 1 Type II, SOC 2 Type II, HIPAA, GxP, GDPR | SOC 1 Type 2, SOC 2 Type 2, ISO/IEC 27001, CSA STAR Level 2, PCI DSS, FedRAMP Tailored ATO |
| Support | — | Community support (Free plan), Web-based support (Team plan), Premium support with 24/7 web and phone support and a 30-minute SLA on urgent tickets (Enterprise) |
| Founded | 2013 | 2008 |
| Headquarters | New York City, NY | San Francisco, California |
| Employees | 1,001–5,000 | 501–1,000 |
| Funding | Series E · $600M raised | Round led by Sequoia Capital · $350M raised |
| Best for | Large enterprises, including highly regulated ones, where business experts and IT need to build AI together under central governance | Development teams, from individuals to enterprises, that build, review, and ship software on one platform. |
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
GitHub
- Most widely adopted CI/CD tool today
- Native integration with GitHub repositories and pull requests
- Transparent pricing with a generous free tier
- Best default for teams already using GitHub
- High user satisfaction and review scores
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Dataiku vs GitHub”, https://slateindex.ai/compare/dataiku-vs-github, data of Nov 2, 2026. Licence: CC BY 4.0.