Bonnard Semantic Layer

Example Use Cases

• 1

  A consistent, governed semantic layer for querying metrics.

• 2

  Connect securely to a self-hosted analytics backend without cloud dependencies.

• 3

  Fast analytical queries with caching and pre-aggregation support.

Description

Bonnard provides a self-hosted Docker deployment of an agent-native semantic layer that ensures consistent metric definitions across AI agents, apps, and dashboards. It includes a Cube semantic layer for SQL-based metrics, a pre-aggregation cache for fast queries, an admin UI, and a deploy API for seamless model updates. The platform supports multiple data warehouses and offers secure API and MCP endpoints with token-based authentication. It enables AI agents to connect and query data through a standardized protocol, improving data governance and consistency.