Stripe to BigQuery integration for analytics-ready payments data

Authenticate Stripe with a restricted read-only API key, select the objects you need (charges, refunds, payouts, balance transactions), map fields to BigQuery columns, and schedule an incremental load keyed on the created or updated timestamp. A MERGE on the Stripe object ID keeps replays from duplicating rows.

Stripe applies per-second request limits per account and returns HTTP 429 when you exceed them, with tighter limits on write endpoints than reads. Any loader worth using backs off exponentially on a 429 and resumes rather than failing the run. Paginating with a cursor and loading incrementally keeps normal syncs far below the ceiling.

Partition the tables on the transaction date and cluster on customer or product. BigQuery charges by bytes scanned, so an unpartitioned charges table means every dashboard refresh reads the entire payment history. Partitioning usually cuts the scan on a typical month-to-date query by well over ninety percent.

Load them as their own rows rather than mutating the original charge. A refund issued in April against a March charge belongs in April's activity and March's gross, and you can only report both if the events are separate rows joined by the charge ID. Netting them at load time destroys information you cannot rebuild.

The Stripe to BigQuery integration from Adapters loads charges, refunds, payouts, fees, and subscription events from Stripe into partitioned BigQuery tables on an incremental schedule, so revenue and finance models read a complete transaction history instead of paginating the Stripe API by hand. Field mapping is no-code.

Yes. This Stripe to BigQuery connector ships prebuilt: the field mapping is wired the moment you pick the pair, transforms are included, and the first sync can run within minutes. No code or engineering sprint required.

Pricing is flat and monthly: Starter at $49, Growth at $149, Scale at $399. Every plan includes this pair, visual field mapping, and per-record logs. There are no per-task or per-row fees, so the bill stays the same as volume grows.

Hourly on Starter, every 5 minutes on Growth, and down to every minute on Scale. Failed records retry automatically with backoff, and alerting plus a full per-record log come standard on every run.

No. Fields are auto-mapped the moment you pick the pair, and you can rewire any mapping visually before the first sync. Incremental loads pull only objects changed since the last run using Stripe event timestamps; minor-unit amounts (cents) cast to BigQuery NUMERIC dollars, Unix timestamps become TIMESTAMP in UTC, tables partition by created date, and balance-transaction fees join to their charge so revenue, fee, and net-payout models read one deduplicated table.