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.

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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

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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 modeled with stable primary keys and foreign‑key relationships so you can confidently join across objects and time.

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Setup

  1. Choose your destination like Snowflake from the integrations page and provide credentials.
  2. Select the datasets you want exported.
  3. Maple will initialize your schema and run the first full sync automatically.

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Data Freshness

  • Daily by default