Environments
The stable, governed foundation for your data
An environment is a container within your organization for the two building blocks of a governed data experience:
- Packages — versioned semantic models, plus the reports, dashboards, and data apps built on them.
- Connections — secure, managed links to the databases and warehouses those packages read from.
Environments are stable, governed resource configurations. They change deliberately — through modeling and publishing — and are the foundation your team analyzes against, not where analysis happens. Analysis happens in workspaces, which consume the models an environment publishes.
Where an Environment Fits
Organization
├── Environment: analytics
│ ├── Connections → secure links to your databases
│ │ └── warehouse (→ snowflake.com)
│ └── Packages → published semantic models + apps
│ └── sales-model
│ ├── v1.2.3 (versions)
│ └── v1.2.4 (latest)
└── Workspaces → where analysis happens
└── consume published packagesTwo properties do most of the work:
- Connections are shared. Configure a data source once and every package in the environment can use it. Credible indexes each connection's schema so AI agents can discover tables and suggest models. See Connect a Database.
- Packages are versioned. Every publish creates a new immutable version. Pin one as latest, or publish unpinned to test before promoting. See Publishing.
Common Patterns
Teams typically organize environments around a department (finance, HR, RevOps — each owning its own data and models), around delivery stages (dev, staging, production, plus private per-developer sandboxes), or a hybrid of the two. See Best Practices for these patterns in detail.
Your Credentials Stay Secure
An admin stores database credentials in the environment once; no one needs to handle them again:
- No local credentials. Developers and modelers SSO into Credible and use the environment's managed connections — nothing is stored on their machines.
- All access is proxied. Every request to the underlying data — from an IDE, the in-app agent, a workspace, or an API — goes through Credible, never directly to your database.
- Access-controlled and audit-logged. Every request is checked against the environment's ACLs and recorded in an audit log.
This makes Credible a secure perimeter around your data — grant analysts, partners, or applications governed access to your models without ever exposing a credential.
Environment Roles
Grant access to an environment with one of three roles, assigned to users or groups. A role applies to every package in the environment; you can also grant narrower access on an individual package.
| Role | What they can do |
|---|---|
| Admin | Full control — manage connections, packages, and sharing, and grant access to others. |
| Modeler | Build and publish packages. Modelers can list and use the environment's connections, but cannot see or update connection configurations — credentials stay with admins. |
| Viewer | Read and query published packages (for example via workspaces or the MCP tools), without modeling access. |
For the full permission model — organization roles, groups, and package-level sharing — see Users & Groups and Permissions.
Environments vs. Workspaces
Environment
The stable foundation. Holds governed packages and connections. Changes through deliberate modeling and publishing. Managed by admins and modelers.
Workspace
Where work happens. Team members chat with data, build reports and data apps, and explore & iterate on published models. Consumes what environments serve. See Analyze Data.
Next Steps
First connect your data, then pick how you want to build: