MLflow Model Registry vs Polyaxon
MLflow Model Registry
mlflow.org
Polyaxon
polyaxon.comSide by side
| Figure | MLflow Model Registry | Polyaxon |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Linux | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 1 |
| Spec score · Experiment Tracking | 7.8 (#6) | 7.3 (#13) |
| Spec score · Model Registry Software | 7.6 (#12) | 7.3 (#17) |
| Spec score · Model registries | 7.9 (#13) | 7.6 (#18) |
| Deployment | MLflow provides an official Helm chart for deploying a self-hosted instance on Kubernetes. | Polyaxon offers a managed cloud service and self-hosted deployments, including Community and Enterprise editions. |
| Integrations | MLflow says it integrates with 100+ tools, including LangChain, OpenAI, and PyTorch, and supports Python, TypeScript/JavaScript, Java, R, and OpenTelemetry. | The site lists integrations including PyTorch, TensorFlow, Hugging Face, LangChain, Ray, Dask, Spark, AWS, GCP, Azure, GitHub, GitLab, Slack, and Datadog. |
| Purpose | MLflow Model Registry is a centralized model store, API, and UI for managing the lifecycle of machine learning models. | Polyaxon is an AI engineering control plane for running machine learning, training, inference, and agent workloads on Kubernetes. |
Plans
In their own words
MLflow Model Registry
MLflow Model Registry is a model store, API and interface for managing machine-learning models through their lifecycle. It tracks model versions and connects each version to the MLflow run, logged model or notebook that produced it. Teams can organize models with aliases, tags and annotations, register models, add descriptions, and move them between stages such as Staging and Production. On a remote tracking server, MLflow supports basic HTTP authentication and role-based permissions for registered models; basic authentication requires a configured secret key and an admin password of at least 12 characters. When used with Databricks Unity Catalog, the registry supports centralized governance, access controls, cross-workspace access and model lineage. An official Helm chart supports self-hosted Kubernetes deployment. MLflow lists integrations with more than 100 tools, including LangChain, OpenAI and PyTorch, plus support for Python, TypeScript/JavaScript, Java, R and OpenTelemetry. The free Open Source plan uses the Apache 2.0 license. Artifact storage is not supported.
Polyaxon
Polyaxon is an AI engineering control plane for machine-learning training, inference and agent workloads on Kubernetes. It records run parameters, metrics, logs, code versions, artifacts, lineage and runtime state. Orchestration covers jobs, services, DAGs, schedules, sweeps, distributed workloads and reusable components. Isolated execution environments can be launched with controlled filesystems, network access, tools, SSH and runtime policies. Evaluation and monitoring include offline and online evaluations, logs, traces, metrics, health checks, alerts and dashboards. Listed integrations include PyTorch, TensorFlow, Hugging Face, LangChain, Ray, Dask, Spark, AWS, GCP, Azure, GitHub, GitLab, Slack and Datadog. Deployment is available through managed cloud or self-hosted Community and Enterprise editions. The core is Apache 2.0 licensed. A free Community Edition covers one cluster and namespace; paid access starts at $555/mo.