DatriseAI-first ETL

Clay to Supabase Integration

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

How Datrise loads Clay into Supabase

Datrise syncs Clay's tables, rows, enrichment runs, waterfalls, data sources, and exported lists 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

Clay: Data enrichment tables that build outbound lists.

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

How Clay entities map to Supabase

Clay entitySupabase objectNotes
tablesclay_tablesid PK · custom fields → jsonb columns
rowsclay_rowsid PK · linked to clay_tables
enrichment runsclay_enrichment_runsid PK · linked to clay_tables
waterfallsclay_waterfallsid PK · linked to clay_tables

FAQ

How does Datrise handle Clay'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 Clay 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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