Supabase Connector
Sync Supabase tables through a Supabase Auth session, with Row Level Security policies applied during reads.
Evaluating against Fivetran? See how Supaflow handles Supabase pricing, connector quality, and Snowflake deployment side-by-side.
Supaflow vs FivetranWhy Supaflow
All connectors included
Every connector is available on every plan. Pricing does not increase with connector count.
Pay for compute, not rows
Credit-based pricing. Usage scales with your pipelines, not with row counts.
One platform
Ingestion, dbt Core transformation, reverse ETL, and orchestration in a single workspace.
Capabilities
Supabase Auth Sessions
Sign in with email/password or magic link. Supaflow stores the session credentials encrypted, refreshes the session when needed, and reads as the authenticated user.
RLS-Aware Reads
Use the connector when you want warehouse syncs to respect Supabase Row Level Security. For database-admin style access, use the PostgreSQL source instead.
Table Discovery
Discover tables in exposed Supabase schemas through the Supaflow metadata helper, then select the tables you want to sync in your pipeline.
Full Refresh and Incremental Sync
Run full-refresh syncs or incremental syncs on reliable last-modified timestamp fields.
Page Size Control
Tune the number of rows read per request for wide tables, large projects, or expensive Row Level Security policies that need smaller batches.
Supported Objects
Database Objects
Tables
Tables in exposed schemas with SELECT access for the authenticated role.
How It Works
Install the metadata helper
Run the Supaflow metadata helper SQL in the Supabase SQL Editor for each project you connect. The helper lets Supaflow discover schemas, tables, columns, and primary keys without a service role key.
Enter project details
Provide the Supabase Project Reference and a publishable API key or legacy anon key. Supaflow rejects secret keys because they bypass Row Level Security.
Sign in with Supabase Auth
Choose email/password or magic link and authenticate as the Supabase Auth user whose RLS access should define what Supaflow can read.
Test and save
Click Test & Save to validate the Auth session, check the metadata helper, and discover schemas and objects exposed to the authenticated role. Row reads are filtered by the signed-in user session.
Use Cases
RLS-aware analytics syncs
Move application data into your warehouse using the same Supabase Auth visibility model your product relies on.
Tenant-scoped exports
Create sources for specific Supabase Auth users when each user or workspace should sync only the rows allowed by your policies.
Operational reporting
Sync selected application tables for reporting while avoiding broad database credentials or service role keys.
Frequently Asked Questions
How is this different from the PostgreSQL source?
Which sign-in methods are supported?
Do I need a service role key?
Why does the connector need a metadata helper?
What happens when the Supabase Auth token expires?
Does the connector support CDC?
Can I sync Supabase views or foreign tables?
Can I sync tables without primary keys?
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