Canonical MLOps vs Weights & Biases
Canonical MLOps
canonical.com
Weights & Biases
wandb.aiSide by side
| Figure | Canonical MLOps | Weights & Biases |
|---|---|---|
| Price from | — | $60/mo |
| Free plan | — | Yes |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | Yes | Yes |
| iOS | — | Yes |
| Android | — | Yes |
| API | — | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 5 |
| Spec score · MLOps Platforms | 7.6 (#11) | 8.6 (#5) |
| Deployment | Charmed MLflow can run on a workstation, CNCF-conformant Kubernetes, or a public cloud. | W&B offers multi-tenant SaaS, isolated dedicated cloud and customer-managed cloud or on-premises deployments. |
| Founded | 2004 | LinkedIn lists the company as founded in 2017. |
| Headquarters | London, United Kingdom | San Francisco, California, United States |
| Integrations | Canonical lists Jupyter, Grafana, and Prometheus as tools to use with Charmed MLflow. | W&B is designed to integrate with customers' ML stacks and tools and offers managed or self-managed deployment choices. |
| Security | Canonical says its MLOps components receive up to 15 years of security maintenance, regular updates, and CVE fixes. | The SaaS deployment states SOC 2 Type 2 certification, team-level data isolation and SSO support. |
| Support | Optional 24/7 support with SLAs is available for Canonical’s MLOps stack. | Support tiers are Standard, Standard Plus and Premium; Premium adds 24/7 coverage, faster response targets, roadmap sessions and engineering access. |
Plans
Weights & Biases
- FreeFree
- PersonalFree
- Pro$60 a month
- Advanced EnterprisePriced on request
- EnterprisePriced on request
In their own words
Canonical MLOps
Canonical MLOps has no write-up on Specifiction yet; its figures are above.
Weights & Biases
Weights & Biases has no write-up on Specifiction yet; its figures are above.