DatriseAI-first ETL

Firebolt to Supabase Integration

AI-first ETL from Firebolt into Supabase. Governed entities, incremental sync, typed landing tables.

How Datrise loads Firebolt into Supabase

Datrise syncs Firebolt's databases, tables, aggregating indexes, query jobs, table schemas, and partitions into Supabase as a typed table per source entity in your Supabase Postgres. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative partitioning for high-volume tables. Datrise lands into a dedicated schema and leaves row-level security to you, so synced tables don't inherit public access by accident.

Ideal for app builders who want CRM data alongside their Supabase product data.

Endpoints

Firebolt: Cloud data warehouse tuned for fast analytics.

Supabase: Postgres platform with auth, storage, and realtime APIs.

How Firebolt entities map to Supabase

Firebolt entitySupabase objectNotes
databasesfirebolt_databasesid PK · custom fields → jsonb columns
tablesfirebolt_tablesid PK · linked to firebolt_databases
aggregating indexesfirebolt_aggregating_indexesid PK · linked to firebolt_databases
query jobsfirebolt_query_jobsid PK · linked to firebolt_databases

FAQ

How does Datrise handle Firebolt's custom fields in Supabase?

Flexible values are stored as jsonb columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Supabase types.

How does the Firebolt to Supabase sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

Early access

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