ModelVault

Dataiku

Offers enterprise MLOps with strong emphasis on governance, compliance, automated documentation, and flexible deployment options, similar to ModelVault's focus on regulated environments.

MLflow

Provides a Model Registry for collaborative model management, including versioning, stage transitions, and annotations, and can be self-hosted for on-premises control.

Kubeflow

An open-source MLOps platform for deploying and managing ML workflows on Kubernetes, supporting on-premises deployment and contributing to auditability and lineage.

DVC (Data Version Control)

Focuses on data and model versioning, reproducibility, and pipeline management, integrating with Git for auditable and traceable ML projects, aligning with ModelVault's versioning and audit trail.