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Postgres to BigQuery loads with schema mapping and incremental sync

The Postgres to BigQuery pipeline from Adapters loads tables incrementally into your warehouse with schema mapping, type casting, and automatic retries, at a flat monthly price instead of per-row usage billing. It reads changed rows on a watermark so each run stays cheap and no code is required.

Try it in the live demo

Field mapping auto-plugged · tap a port to rewire

5 sample records ready

Last updated July 2026

What running Postgres to BigQuery by hand costs you

  • A nightly pg_dump and load rewrites whole tables and balloons BigQuery storage and query cost.
  • Postgres and BigQuery types do not line up, so numeric, jsonb, and timestamp columns land wrong.
  • Home-grown loaders have no retries, so one network blip leaves the warehouse half-loaded and silent.

The field mapping, out of the box

These cables are pre-wired when you pick the pair. Rewire any of them, or add your own, in the same visual data mapping tool you use for every adapter.

Input / POSTGRES

orders.id
orders.id
orders.total_cents
orders.total_amount
customers.email
customers.email
orders.created_at
orders.created_at
orders.status
orders.status
orders.updated_at
orders._loaded_at

Transforms included

Incremental loads read rows past an updated_at watermark so each run only moves what changed; Postgres types cast to BigQuery types (numeric to NUMERIC, jsonb to JSON, timestamptz to TIMESTAMP in UTC), cents convert to decimal amounts, and tables partition and cluster so queries scan less and cost less.

How it goes live

Three steps, minutes end to end, covered by flat data integration pricing from $49 a month.

STEP 01

Pick the pair

Connect Postgres and BigQuery with scoped credentials. About a minute each.

STEP 02

Confirm the mapping

The cables above are pre-wired. Adjust any field, preview the transform on sample records, done.

STEP 03

Schedule the sync

Hourly down to every minute, with retries, alerting, and a full log on every run.

Try it in the live demo Preloads POSTGRES → BIGQUERY with sample records

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stripe quickbooks integration shopify netsuite integration salesforce hubspot integration airtable google sheets sync postgres to snowflake sync shopify quickbooks integration salesforce netsuite integration paypal quickbooks integration square quickbooks integration stripe netsuite integration hubspot quickbooks integration quickbooks to xero migration shopify xero integration salesforce to snowflake integration square netsuite integration hubspot xero integration salesforce to bigquery integration netsuite to snowflake integration quickbooks to bigquery integration stripe to snowflake integration shopify to snowflake integration quickbooks to snowflake integration hubspot to snowflake integration netsuite to bigquery integration stripe to bigquery integration shopify to bigquery integration paypal to snowflake integration square to snowflake integration square to bigquery integration netsuite to postgres integration salesforce to postgres integration xero to snowflake integration hubspot to bigquery integration xero to bigquery integration paypal to bigquery integration stripe to postgres integration snowflake to bigquery migration shopify to postgres integration hubspot to postgres integration bigquery to snowflake migration quickbooks to postgres integration xero to postgres integration square to postgres integration paypal to postgres integration snowflake to postgres

Browse the full api connector library, or request a pair you do not see.

Postgres and BigQuery, finally in agreement

Map the pair once and let it sync on schedule. Flat price from $49 a month, no per-task fees.

Try the live demo