Enabling usage-based billing without requiring engineers to manage billing logic was the very first feature we built at Alguna (YC S23).
Today, we’re going a step further, making it even easier to ingest usage data—by introducing our new integration with Google BigQuery.
This integration allows you to plug your data pipeline directly into Alguna’s billing engine without writing a single line of code.
How the Alguna + BigQuery Integration Works
This integration is built for high-scale SaaS companies that track product usage in BigQuery and want to automate the billing process based on that data.
No-code connection setup
Provision access to your BigQuery dataset in a few clicks—no manual exports, ETLs, or custom scripts required.
Automated usage ingestion
Alguna automatically ingests metered events from your dataset on a regular schedule, without any ongoing engineering involvement.
Real-time billing engine
Once usage data is ingested, Alguna immediately calculates invoice line items using your pre-defined pricing plans. You can preview upcoming invoices, track charges in real-time, and ensure every customer is billed correctly.
Why This Matters
Usage-based pricing is powerful—but only if it’s easy to operationalize. By connecting BigQuery to Alguna, you get a fully automated pipeline from product usage to billing-ready invoices.
Key benefits:
- No-code data ingestion from BigQuery
- Accurate, real-time billing based on metered usage
- Complete separation of billing logic from engineering workflows
- Full visibility into usage trends and upcoming invoices
Who This Is For
This integration is perfect for:
- SaaS companies storing product usage events in BigQuery
- Teams scaling usage-based, tiered, or prepaid-with-overage pricing models
- Product-led businesses with high-volume usage data
- RevOps and finance teams seeking automation across data, billing, and invoicing
Get Started in Minutes
You can set up the BigQuery integration directly from your Alguna dashboard, without writing code or building custom pipelines.
