Exporting Data
Maple connects to your analytics stack to keep your BI and operations in sync. You can export analytics‑ready datasets to your data warehouse (for example, Snowflake, BigQuery) to power reporting, dashboards, and revenue analysis.
Capabilities
Stable identifiers and relational models across the revenue lifecycle
Automated incremental syncs with schema evolution
Analytics‑ready tables designed for joins and time‑series analysis
Data Coverage
Maple exports a comprehensive set of datasets so you can model end‑to‑end revenue:
Customers
Products and prices
Subscriptions
Contracts
Credits and discounts
Usage events and metering (upon request)
Invoices and invoice line items
Payments, refunds, failures, and retries
Each dataset is modelled with stable primary keys and foreign‑key relationships so you can confidently join across objects and time.
Setup
Choose your destination, like Snowflake, from the integrations page and provide credentials.
Select the datasets you want exported.
Maple will initialize your schema and run the first full sync automatically.
Data Freshness
Daily by default