DagsHubEverything you need to manage multimodal AI data & models.
vs
DataikuThe Platform for AI Success
Comparison · MLOps Platforms · weekly run Nov 2
DagsHub vs Dataiku
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Dataiku is the stronger AI pick in MLOps Platforms: it has a visibility score of 8.5 versus 3.5 for DagsHub.
Choose DagsHub if…
- Structured annual pricing with yearly billing options on team tiers
- Recommended as a starting option for MLOps lifecycle coverage
Choose Dataiku if…
- You want the brand AI engines rank higher (8.5 vs 3.5)
- 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
AI visibility side by side
Latest weekly run · Nov 2
| Metric | DagsHub | Dataiku |
|---|---|---|
| Visibility score | 3.5% | 8.5% |
| Change vs last week | New | New |
| Rank in MLOps Platforms | #23 | #12 |
| Share of voice | 0.6% | 2.9% |
| Mentions this run | 4 | 20 |
| 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
DagsHub 0pp · Dataiku 0pp over 0 weekly runs.
Engine by engine
Dataiku leads on 2 of 3 engines
ChatGPT
AI Mode
Perplexity
DagsHubDataiku
Head to head in AI answers
0 engine answers name both brands
0DagsHub ranked higher
0Dataiku ranked higher
Features, pricing & fit
| Dimension | DagsHub | Dataiku |
|---|---|---|
| Pricing model | Per seat | — |
| Entry price | Free; paid from $119 per seat / mo | — |
| Free plan | Yes | — |
| Deployment | Cloud hosting, with on-premise, VPC, and air-gapped installation on the Enterprise plan. | Runs on the clouds, data platforms and models a customer already has |
| Compliance | — | ISO 27001:2022, ISO 27701:2019, SOC 1 Type II, SOC 2 Type II, HIPAA, GxP, GDPR |
| Support | Community chat and email, Priority support on the Team plan, Enterprise SLA and support | — |
| Founded | 2019 | 2013 |
| Headquarters | San Francisco, California, United States | New York City, NY |
| Employees | 11–50 | 1,001–5,000 |
| Funding | Accelerator/incubator deal | Series E · $600M raised |
| Best for | Data science and AI teams that manage multimodal datasets, experiments, and models, from individuals building small applications to enterprises running high-scale workloads. | Large enterprises, including highly regulated ones, where business experts and IT need to build AI together under central governance |
Plans side by side
DagsHub
Individual$0user/month
Team$119user/month (monthly); $99 billed yearly
EnterpriseCustomcustom quote
Dataiku
Pricing not available.
Pros and cons
Themes from the AI answers that mention each brand
DagsHub
- Structured annual pricing with yearly billing options on team tiers
- Recommended as a starting option for MLOps lifecycle coverage
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
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “DagsHub vs Dataiku”, https://slateindex.ai/compare/dagshub-vs-dataiku, data of Nov 2, 2026. Licence: CC BY 4.0.