Domino Data LabThe enterprise AI platform to build, scale, and govern AI-powered applications
vs
GitHubThe home of software development
Comparison · MLOps Platforms · weekly run Nov 2
Domino Data Lab 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 5.6 for Domino Data Lab, and ranks ahead in 67% of the answers that name both.
Choose Domino Data Lab if…
- You need ISO 27001 or ISO 9001 or SOC 2 or HIPAA or GDPR coverage
- Flat tiers pricing suits your budget better than per seat
- Reproducible development environments
- Centralized governance and lifecycle policy enforcement
Choose GitHub if…
- You want the brand AI engines rank higher (9 vs 5.6)
- You want a free plan to start
- AI answers describe it more positively (48% vs 35% positive)
- 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
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Domino Data Lab | GitHub |
|---|---|---|
| Visibility score | 5.6% | 9% |
| Change vs last week | New | New |
| Rank in MLOps Platforms | #15 | #11 |
| Share of voice | 2.5% | 2% |
| Mentions this run | 17 | 14 |
| Positive in AI answers | 35% | 48% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Domino Data Lab 0pp · GitHub 0pp over 0 weekly runs.
Engine by engine
GitHub leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
Domino Data LabGitHub
Head to head in AI answers
3 engine answers name both brands
1Domino Data Lab ranked higher
2GitHub ranked higher
| Prompt | Engine | Domino Data Lab | GitHub |
|---|---|---|---|
| Best MLOps platform for enterprise | ChatGPT | #8 | #6 |
| Best MLOps platform for enterprise | AI Mode | #8 | #5 |
| Compare the leading MLOps Platforms platforms | ChatGPT | #10 | #11 |
Features, pricing & fit
| Dimension | Domino Data Lab | GitHub |
|---|---|---|
| Pricing model | Flat tiers | Per seat |
| Entry price | Contact sales | Free; paid from $4 per seat / mo |
| Free plan | No | Yes |
| Deployment | Single-tenant managed SaaS (Domino Cloud), or self-managed in the customer's VPC or on-premises, with hybrid and multicloud operation via Domino Nexus. Runs on Kubernetes. | Cloud service (GitHub.com and GitHub Enterprise Cloud) and self-hosted GitHub Enterprise Server |
| Compliance | ISO 27001, ISO 9001, SOC 2, HIPAA, GDPR | SOC 1 Type 2, SOC 2 Type 2, ISO/IEC 27001, CSA STAR Level 2, PCI DSS, FedRAMP Tailored ATO |
| Support | Premium support with 2 business day response for non-urgent issues and 2 hour response for urgent issues, Enterprise support with 1 business day response for non-urgent issues and 1 hour response for urgent issues, Designated customer success manager on Enterprise plans, Security team available 24/7 for enterprise customers | 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 | San Francisco, CA | San Francisco, California |
| Employees | 201–500 | 501–1,000 |
| Funding | Strategic equity investment from UBS · $228M raised | Round led by Sequoia Capital · $350M raised |
| Best for | Large enterprises in regulated industries such as life sciences, financial services and the public sector, especially code-first data science teams. | Development teams, from individuals to enterprises, that build, review, and ship software on one platform. |
Plans side by side
Domino Data Lab
Domino CloudCustomsubscription
PremiumCustomsubscription
EnterpriseCustomsubscription
Pros and cons
Themes from the AI answers that mention each brand
Domino Data Lab
- Reproducible development environments
- Centralized governance and lifecycle policy enforcement
- Suited to collaborative, governed enterprise data science at scale
- Analyst recognition, such as a Gartner Visionary placement
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, “Domino Data Lab vs GitHub”, https://slateindex.ai/compare/domino-data-lab-vs-github, data of Nov 2, 2026. Licence: CC BY 4.0.