Compare · Gaur vs Metabase

Gaur and Metabase.

Metabase is a BI app with a semantic layer built in. We sit underneath a BI app, your product, and your AI agents. The two can coexist. The question is which one is the system of record.

01What each one is

BI app with a semantic layer, or backend that serves the semantic layer.

Metabase

A BI app with a semantic layer (Data Studio).

Metabase is a BI app: dashboards, a visual query builder, an embedded SDK and natural-language queries via Metabot. Its Data Studio lets teams define reusable models and metrics inside Metabase. Queries are pushed down to the connected warehouse or database.

Gaur

The contracts and the API are the product.

We ingest from your sources into our own engine, let you publish governed contracts, and serve them through three protocols on a single key: a query endpoint, a chat endpoint, and an MCP server. The semantic layer is the shipped surface, not a feature inside a dashboarding app.

The category answer

They aren't direct substitutes.

If you want a BI app that internal users open in their browser and click around in, that's Metabase. If you want a single governed definition behind your internal dashboards, your customer-facing product, and your AI agents, that's us. A real setup can use both: Metabase for analyst exploration, us as the backend the rest of your software calls.

The stack
Humans, apps, AI agents
Consumers
Metabase
BI app · dashboards, ad-hoc questions
Metabase
Gaur
Governed backend · one contract, three protocols
Gaur
Warehouse / sources
Snowflake, BigQuery, Postgres, files
Different layers. Metabase sits where humans click. Gaur sits where software calls.
02Side by side

The honest table.

Both tools genuinely have semantic-layer features and MCP support. The differences are where they live and what the primary surface is.

Primary surface
MetabaseBI app with dashboards and visual query builder
GaurAPI and contracts for apps, dashboards and agents
Where queries run
MetabasePushed to your connected warehouse or database
GaurOur own engine, ingested from your sources
Semantic layer
MetabaseData Studio: models and metrics inside Metabase
GaurContracts: the shipped product surface
Natural-language queries
MetabaseMetabot, integrated with the BI app
GaurOpenAI-compatible chat endpoint your apps call
MCP for AI agents
MetabaseAvailable, oriented around the BI app
GaurBuilt into every consumer, alongside the query and chat endpoints
Embedded analytics
MetabaseEmbedded SDK around Metabase visualizations
GaurQuery API with tenant context enforced by the contract

Coming from Metabase: your Metabase dashboards can keep running. Move the semantic-layer definitions into contracts so the same numbers reach your apps and AI agents.

Ready when you are

You run your business.
We run your analytics.

Hop on a 30-minute call. We'll connect a sandbox to your warehouse and show you Gaur on your numbers.