Canonical MLOps vs Domino Data Lab
Canonical MLOps
canonical.comDomino Data Lab
domino.aiSide by side
| Figure | Canonical MLOps | Domino Data Lab |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Linux | Yes | — |
| API | — | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 3 |
| Spec score · MLOps Platforms | 7.6 (#11) | 7.5 (#12) |
| Deployment | Charmed MLflow can run on a workstation, CNCF-conformant Kubernetes, or a public cloud. | Domino supports deployment of apps such as Streamlit, Dash, and Shiny, which can scale with user demand and use discovery and approval workflows. |
| Founded | 2004 | 2013 |
| Headquarters | London, United Kingdom | San Francisco, California, United States |
| Purpose | Canonical MLOps is an open source platform for moving machine learning models from experimentation to production across the ML lifecycle. | Domino’s Enterprise AI Platform brings together model development, MLOps, collaboration, and governance for enterprises building and operating AI at scale. |
| Security | Canonical says its MLOps components receive up to 15 years of security maintenance, regular updates, and CVE fixes. | The security page describes single-tenant isolation, secure development practices, vulnerability scanning, third-party penetration tests, and SIEM-integrated monitoring. |
| Support | Optional 24/7 support with SLAs is available for Canonical’s MLOps stack. | All plans include premium or enterprise support; the pricing page lists a two-business-day support SLA for Cloud and Premium and a one-business-day SLA for Enterprise. |
Plans
Domino Data Lab
- Domino CloudPriced on request
- EnterprisePriced on request
- PremiumPriced on request
In their own words
Canonical MLOps
Canonical MLOps has no write-up on Specifiction yet; its figures are above.
Domino Data Lab
Domino Data Lab has no write-up on Specifiction yet; its figures are above.