Yes. Ledger data syncs to Snowflake, and Rivane AI can query Snowflake via MCP.

The Model Context Protocol lets Rivane AI reach external tools and warehouses securely.

Does the Snowflake integration cost extra?

No. Data connectors are included in every Rivane plan, with unlimited users.

Data & Warehouse

Integrasi Snowflake

The Snowflake integration is two-way. Rivane pushes ledger data into Snowflake, including journal entries, balances, dimensions, and derived finance metrics, and Rivane AI can query Snowflake through the Model Context Protocol (MCP). Finance and product data end up in one place for unified analytics and BI.

Minta demo

Rekaman Snowflake mengalir ke buku besar, dicocokkan dan siap ditinjau.

Apa yang disinkronkan

GL data

Journal entries and balances

Dimensions

Entity, department, class

Metrics

Derived finance metrics

Tempat data Snowflake masuk di Rivane

Data	Tempat data masuk di Rivane
GL data	Journal entries and balances landed in Snowflake for BI
Dimensions	Entity, department, and class, kept with every entry
Metrics	Derived finance metrics available next to product data
Snowflake tables	Queried by Rivane AI through MCP

Alur kerja umum

An analyst wants revenue by product cohort. Ledger data already sits in Snowflake next to product usage, so the query joins the two directly, and a finance lead can ask Rivane AI the same question in plain English.

Fitur utama

Warehouse sync

Ledger data lands in Snowflake for BI.

MCP access

Rivane AI can query Snowflake through MCP.

Unified analytics

Finance and product data in one place.

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