PipeloomSync guides, pair by pair
What lands where, what to watch for, and what it costs. More pairs are added as they are written and checked.
Shopify to Snowflake
Load Shopify orders, customers, products and inventory into Snowflake as typed tables you can join to the rest of your warehouse, on a schedule you choose.
Shopify to BigQuery
Load Shopify orders, customers and products into BigQuery as partitioned tables, with nested order data kept as JSON you can unnest in SQL.
Stripe to Snowflake
Load Stripe charges, customers, invoices and subscriptions into Snowflake so finance and product can report on revenue next to the rest of your data.
Stripe to BigQuery
Load Stripe charges, customers, invoices and subscriptions into BigQuery, partitioned and clustered for inexpensive revenue reporting.
HubSpot to Snowflake
Load HubSpot contacts, companies, deals and engagements into Snowflake to join CRM activity with product and billing data.
HubSpot to BigQuery
Load HubSpot contacts, companies, deals and engagements into BigQuery for marketing and revenue analysis.
Salesforce to Snowflake
Load Salesforce accounts, contacts, opportunities and custom objects into Snowflake without exhausting your daily API allowance.
Google Analytics 4 to BigQuery
Load GA4 report data into BigQuery with the Data API connector, including custom reports, on a schedule you control.
Postgres to Snowflake
Replicate Postgres tables into Snowflake for analytics, using xmin, CDC or a cursor column to keep them current.
Postgres to BigQuery
Replicate Postgres tables into BigQuery, with CDC for deletes and clustered tables for inexpensive analysis.
Every connector is documented in the connector reference.