Snowflake
Your billing data shouldn't be trapped in your billing platform. Measure syncs your complete billing dataset to Snowflake every day, giving your data team direct access to customers, subscriptions, invoices, payments, contracts, and credits in a relational schema they can actually work with.
What does it do?
Measure exports seven core data tables to your Snowflake warehouse on a daily automated schedule: Customers, Products and Prices, Subscriptions, Contracts, Credits and Discounts, Invoices and Line Items, and Payments. Every table has stable primary keys and foreign-key relationships so your analysts can join data confidently without guessing at connections.
Schema management is handled by Measure. As new fields are added to the billing platform, the Snowflake schema evolves automatically. No manual DDL, no broken pipelines, no data engineering overhead to maintain the sync.
Who is it for?
Data teams at companies using Snowflake as their warehouse who need billing metrics alongside product, marketing, and financial data. Particularly valuable for FP&A, revenue analytics, and customer health scoring that requires combining billing data with other business data.
How it works
Connect your Snowflake account in Measure's integrations settings and specify the target dataset. Measure creates the schema and begins daily automated syncs. Your data team queries billing data in Snowflake using standard SQL, joins it with other datasets, and builds dashboards and reports on top of a complete, always-current billing data model.
Daily automated sync. Measure pushes a complete refresh of all billing data tables to your Snowflake warehouse every 24 hours.
Seven tables: Customers, Products and Prices, Subscriptions, Contracts, Credits and Discounts, Invoices and Line Items, and Payments. All tables include primary keys and foreign-key relationships.
No. Measure creates and maintains the schema automatically. When new fields are added to the billing platform, the Snowflake schema updates without manual intervention.
Yes. The data lands in your Snowflake warehouse as standard tables with stable keys, so you can join billing data with product usage, marketing attribution, support tickets, or any other data in your warehouse.