Model Store Overview

Vendor Name


Stand-alone vs. Platform

Part of a broader platform

Delivery Model

Primarily managed cloud service

Clouds Supported


Pricing Model

Seat-based license pricing

Service Level Guarantees

For enterprise clients only (per agreement)




SSO available (Okta, SAML, Azure AD)

Security and Compliance

User access management features

Model Store Capabalities


All models trained on Valohai are automatically stored and can be deployed via Valohai deployments.
Valohai is installed by our success team (i.e. no infrastructure setup) and to store artifacts write them on the disk in the container (i.e. minimal code setup).

Flexibility, Speed, and Accessibility

Can store any artifacts and any key-value pairs as metadata. All of these can be accessed via API, CLI, and GUI.

Model Versioning, Lineage, and Packaging

All artifacts are automatically versioned and traceable to the executions and pipelines that generated them.

Log and Display of Metadata

Anything printed by the code is automatically logged and versioned. All logs are live. Key-value pairs can be visualized live.
All parameters, docker images, git commit, input sources are automatically stored and versioned.

Comparing Experiments and Models
Organizing and Searching Experiments and Models

Both experiments and artifacts can be filtered and sorted by any custom parameter, metrics, tags.
Experiments can be visualized and compared.
Experiments and models are organized in projects.

Model Review, Collaboration, and Sharing

Currently no audit workflows built-in.
Models can be tagged per your process.

CI/CD/CT Compatibility

Supports continuous integration with triggers and scheduling.
Valohai API can be called from any third-party such as Github actions, Airflow.


Specifically designed to be language and user-workflow agnostic.
Supports and integrates with anything through API and CLI.


There are no reviews yet. Be the first to write one.