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HomeToolsAI AgentsBonnard
Bonnard

Bonnard— Review, Pricing, Alternatives

Ship agentic analytics out-of-the-box.

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Overview

Description

Bonnard is the agentic analytics layer for building next-generation AI features. Define your metrics in YAML, connect your warehouse, and ship governed AI analytics with multi-tenancy and access control built-in. Bonnard enables shipping accurate, fast, and scalable AI analytics inside your product or over MCP for your customers. Your agents get the right answer because they query governed metric definitions, not raw tables. Your clients only see their data with row-level security per tenant and token exchange mapping your auth to the security context. Ship it your way with a React SDK for AI chat in your product, an MCP server for clients using their own AI tools, and REST and GraphQL for everything else. Everything your customers need is powered by one governed schema powering every dashboard, agent, SDK, and MCP. Get trustworthy answers as your agent queries governed metric definitions, not raw tables. Every response is grounded in your business logic. Offer it in your product or via MCP with embedded dashboards, a React SDK, and an MCP server. Publishable keys let your customers access their data wherever they work, and you control what they see. SDK for every surface includes REST for your app, React for embedded analytics, and SQL for your internal team, all with the same governed model. Browse before you ship: explore your schema, run queries, check results, and see exactly what your customers will see before it goes live. Ship from the terminal with no clunky UI. Every feature is accessible via CLI and taught to your agent. Agent-ready from init: `bon init` scaffolds your modeling layer plus docs, skills, and rules for your agent. Your metrics are understood from the first commit. Self-host in minutes: `docker compose up` runs the full stack. Use the CLI to init, model, deploy, and query. Your infrastructure, no limits. Deploy to Cloud: Same CLI, managed infrastructure. `bon deploy` pushes to Bonnard Cloud. Zero ops, governance included. Fits your stack: `bon datasource add --from-dbt` and your models are in. Auto-detected from your project. Ready for your security review: Governed access, audit logging, and managed cloud. Check the boxes: RBAC and governed access to control who queries what. Audit trail: every query logged. Know which agent, app, or user accessed what, and when. Team access: invite your team, assign roles, and scope access to the metrics that matter. Fully managed: we handle infrastructure and scaling. You handle metrics. Go from zero to PoC in a week.

Strengths
  • Enables integrating AI analytics directly into B2B products.
  • Offers robust data governance and access control.
  • Facilitates connecting to data warehouses and integration via MCP or SDKs.
  • Ensures accuracy and reliability of analytics through governed metric definitions.
  • Provides CLI tools and SDKs for flexible shipping.
Weaknesses
  • Initial configuration of metrics and data sources may require expertise.
  • Cost can be a factor for smaller businesses or budget-constrained projects.
  • The quality of analytics depends on the quality of the source data.
  • Dependence on the Bonnard ecosystem might be a constraint.

Use cases

B2B SaaS product embedding customer analytics

SaaS product manager

For SaaS product managers, Bonnard enables embedding real-time, governed customer analytics directly into their product. For example, a SaaS platform can offer its users a dashboard showing their own usage metrics and ROI, powered by Bonnard's SDK.

E-commerce platform offering sales insights to merchants

E-commerce platform owner

For e-commerce platform owners, Bonnard allows them to provide merchants with AI-driven sales analytics without building it from scratch. For instance, an e-commerce platform can offer merchants insights into their best-selling products and customer demographics, powered by Bonnard's MCP server.

Data analyst providing governed metrics to AI agents

Data analyst

For data analysts, Bonnard facilitates serving governed, accurate metrics to AI agents for analysis and reporting. An analyst can define key business metrics in YAML and then allow AI tools like ChatGPT to query these metrics directly, ensuring consistent and reliable data for their reports.

B2B company enabling customer self-service analytics

B2B company executive

For B2B companies, Bonnard empowers them to offer governed AI analytics to their clients, enabling self-service data exploration. A B2B service provider can use Bonnard's REST API to let their clients pull specific performance data for their own internal analysis, ensuring data security and accuracy.

Frequently asked questions

How do I install Bonnard?

You can install the Bonnard CLI globally using npm with the command `npm install -g @bonnard/cli`. After installation, you can initialize your project using `bon init` to scaffold your modeling layer, docs, skills, and rules for your agent.

Is Bonnard free?

Bonnard is open-source under the Apache 2.0 license, meaning the core software is free to use. They also offer a managed cloud service, though pricing details for that are not publicly available and would likely require a demo request.

How much does Bonnard cost?

The Bonnard CLI and its open-source components are free to use under the Apache 2.0 license. For their managed cloud offering, pricing information is not detailed on their website, suggesting potential custom quotes or a need to request a demo for specific costs.

Is Bonnard secure / GDPR-compliant?

Bonnard emphasizes security with features like Role-Based Access Control (RBAC), audit logging for every query, and team access controls. While GDPR compliance is not explicitly detailed, their focus on governed access and data control suggests an architecture that can support such requirements.

What's the best alternative to Bonnard?

Alternatives to Bonnard in the semantic layer and AI analytics space include tools like Cube.dev, Looker, and Metabase. The 'best' alternative depends on specific needs regarding AI agent integration, data governance, and deployment preferences.

What platforms does Bonnard support?

Bonnard is designed to be platform-agnostic, connecting to various data warehouses. It offers a React SDK for embedding analytics into products, a REST and GraphQL API, and an MCP server for clients using their own AI tools, making it adaptable to different tech stacks.

Does Bonnard have a web version?

Bonnard itself is primarily a CLI tool and a backend service for data analytics. While it doesn't have a standalone 'web version' for end-users in the traditional sense, it enables the creation of web-based analytics experiences through its React SDK and APIs that can be embedded into web applications.

Pricing

Bonnard pricing — under verification

We're still verifying the official pricing for Bonnard. In the meantime, the most up-to-date plans and prices are available directly on the publisher's website.

Are you the publisher of this tool? to edit this information.

Comparisons

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User reviews

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Discussions

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This space lets you connect with other users of the tool: ask questions, share tips and your experience to move forward together.

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  • Ask the community for help or advice
  • Share your experience and use cases
Information
CategoryAI Agents
PricingPaid
LanguageMultilingue
APIAvailable
Tags
api-integrationautonomous-agents
Updated May 9, 2026
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