Stream Supabase Postgres Changes to BigQuery with Supabase Pipelines

Supabase Pipelines is now in public alpha for paid Supabase plans. It gives teams a managed change-data-capture path from Supabase Postgres to analytics destinations, starting with BigQuery, without running a separate Debezium, Kafka, or custom replication stack.

Use it when production Postgres is doing double duty as both app database and analytics source. Pipelines reads from Postgres logical replication, performs an initial copy of selected tables, and then streams inserts, updates, deletes, and truncates with at-least-once delivery.

What to evaluate before depending on it:

• Availability is public alpha, so behavior and supported destinations can change.
• BigQuery is the current managed destination; Supabase says more destinations are planned.
• It runs on paid Supabase plans, not self-hosted Supabase.
• Row filters, selected tables, column subsets, partitioned tables, schema-change handling, and dashboard monitoring are part of the published setup surface.

Best fit: teams already on Supabase that want operational data in BigQuery for analytics, reporting, enrichment, or downstream AI workflows while keeping heavy analytical reads away from the application database.