Question 1

What do teams push into Supabase?

Accepted Answer

Derived values the application needs but should not compute at request time: account health scores, usage aggregates, entitlements, recommendation sets, or a leaderboard. Those are natural to model over warehouse data and awkward to derive inside an application database. Writing the result back means the app reads a plain table through the client library it already uses, with row level security applying as it would to any other table.

Question 2

Is Supabase different from a plain Postgres target?

Accepted Answer

Barely, and deliberately so. Supabase uses the same PostgreSQL implementation rather than a separate writer, so write modes, identity matching, batching and schema creation behave identically. What differs is connection handling: SSL and the postgres database by default, and simple protocol when connecting on the transaction pooler port. Those are defaults rather than settings you manage.

Question 3

Can I use the pooled connection string?

Accepted Answer

For writing, yes. The transaction pooler port is handled with simple protocol, so write syncs work through it. The restriction people run into applies to logical replication rather than writes: a pooled connection cannot serve the long lived replication protocol, so reading change data out of Supabase later would need the direct connection. For pushing modelled data in from a data warehouse, the pooler is fine.

Question 4

How current can the data be?

Accepted Answer

As current as the schedule you set, with read cost usually deciding how often that is. Because BigQuery bills on bytes scanned, an hourly sync over a full table is expensive while an hourly sync over a partitioned table with a tracking field is not. Incremental reads need that tracking field plus a unique identity on the table. Add clustering, select only the columns the application reads, and keep custom SQL from defeating partition pruning, and a frequent refresh becomes reasonable rather than something you ration.

Connect BigQuery with Supabase

Connect BigQuery and Supabase with Polytomic

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