Prompt
Which run logging software supports RBAC, audit trails, and large artifact storage for enterprise ML teams?
Latest observation
For enterprise ML teams, Comet is a strong fit: it supports RBAC, audit trails, and large artifact storage for run logging and experiment tracking.
Other enterprise options that may also fit depending on your stack include:
- Weights & Biases (W&B) — enterprise features, access controls, and artifact tracking
- MLflow — can be deployed with enterprise infrastructure, but RBAC/audit trails usually depend on your surrounding platform
- Neptune — experiment tracking with team and enterprise collaboration features
If you want, I can compare Comet vs W&B vs MLflow specifically on RBAC, audit logs, retention, and artifact handling.
Observation history
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