# Enterprise Edition Features

Enterprise Edition builds on the same four-layer architecture and control-plane principle as Starter Edition, with deeper semantic modelling, broader integrations, and stricter governance enforcement for team and production use.

## Full semantic modelling

Enterprise Edition supports the full complexity of real-world data environments:

- **Complex entity relationships** across multiple data domains, including many-to-many relationships with bridge tables
- **Advanced metric definitions** with compound calculations, currency handling, and time-series aggregation rules
- **Multi-domain semantic models** spanning financial, operational, marketplace, and other data types
- **Schema change detection** that updates the semantic model when source data structures change, keeping enforcement consistent across downstream consumers

Where Starter Edition provides basic semantics and rules for individual developer workflows, Enterprise Edition handles the full range of semantic complexity that production environments demand.

## Warehouse-native deployment

Enterprise Edition runs as a native app inside your own cloud data warehouse:

| Platform | Status |
|----------|--------|
| Snowflake | Available now |
| Databricks | Available now |
| Google BigQuery | Coming soon |
| Amazon Redshift | Coming soon |

ADI inspects the warehouse, profiles the tables, and builds its four-layer understanding from the data already there. Your data stays in your warehouse, and ADI extends your existing catalogue and governance rather than replacing them.

## Governance and security

Enterprise Edition enforces governance at the platform level, with stricter controls than Starter Edition:

- **Authentication and access control** with enterprise-grade security
- **Data governance policies** that define what data can be queried, by whom, and under what conditions
- **PII protection** enforced before data reaches any agent or user
- **Audit trails** tracking every query, every governance check, and every execution decision
- **Consumption contracts** that define the valid query surface and refuse anything outside it

Enterprise Edition is designed so governance is not optional or configurable at the agent level: the contract defines the boundaries, and the platform enforces them, regardless of how the consuming copilot or agent is configured.

## Human-in-the-loop governance

Changes to the semantics and the contract are explicit, versioned, and reviewable. Enterprise Edition adds a Slack-based governance process, so a proposed change can be reviewed and approved in the flow of work before it takes effect.

## User interface

Enterprise Edition provides a user interface for:

- Configuring data source connections
- Reviewing and refining the semantic model ADI builds
- Monitoring enforcement and query activity
- Managing governance policies and consumption contracts
- Reviewing the audit trail of queries and governance decisions

The interface is the primary control point for Enterprise Edition, in contrast to Starter Edition where the interaction happens through the coding agent.

## Interoperability

The analytical model defined in the contract can be output to MetricFlow as an output sink, so the metric definitions are usable in existing downstream workflows. ADI is also working towards two-way compatibility with the Open Semantic Interchange (OSI) standard, importing and exporting OSI-conformant semantic models.

## Cross-domain data support

Enterprise Edition works across data domains: financial data, operational data, marketplace data, and anything else in your warehouse. The four-layer architecture applies the same way regardless of the business domain. A contract for financial metrics follows the same structural principles as a contract for operational measures.