Radiant AI Cloud Model Registry vs ZenML
Radiant AI Cloud Model Registry
docs.ori.co
ZenML
zenml.ioSide by side
| Figure | Radiant AI Cloud Model Registry | ZenML |
|---|---|---|
| Price from | — | $999/mo |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 0 | 3 |
| Spec score · Model Registry Software | 6.7 (#23) | 7.8 (#10) |
| Spec score · Model registries | 6.8 (#31) | 8.4 (#9) |
| Purpose | Radiant AI Cloud’s Model Registry is a centralized repository for managing, versioning, and preparing custom AI models for deployment. | ZenML orchestrates AI and machine-learning pipelines and agents written in Python. |
| Security | The maker’s documentation describes an optional MFA setting that prompts users for an authenticator-app code after login. | ZenML states that it is SOC 2 Type II and ISO 27001 certified. |
| Support | RAIC support resources include documentation, community discussions, a platform status page, and a support case portal. | The Open Source plan includes community support, Scale includes priority support, and Enterprise includes dedicated support with an SLA. |
Plans
In their own words
Radiant AI Cloud Model Registry
Radiant AI Cloud Model Registry has no write-up on Specifiction yet; its figures are above.
ZenML
ZenML orchestrates AI and machine-learning pipelines and agents written in Python. Pipelines can run on Kubernetes, Vertex AI, SageMaker, AzureML, or a laptop without rewriting code. ZenML versions step outputs such as models and evaluation datasets, supports re-execution from any step, and reuses cached results when code and inputs have not changed. Deployment choices include local, SaaS, and self-hosted setups, with Docker and Kubernetes Helm methods. ZenML says it stores metadata while data, artifacts, and compute remain in the customer's infrastructure or VPC. Its integrations directory lists 66 tools, including LangGraph, OpenAI Agents SDK, PyTorch, MLflow, AWS, and Google Cloud Vertex AI Pipelines. The self-hosted Open Source plan is free and includes unlimited executions and projects. Scale costs $999 a month and includes 2,000 executions, three projects, and five snapshots. Enterprise has custom pricing and adds SSO, custom-role RBAC, audit logs, and air-gapped deployment. ZenML says it is SOC 2 Type II and ISO 27001 certified.