DatriseAI-first ETL

Teradata to Supabase Integration

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

How Datrise loads Teradata into Supabase

Datrise syncs Teradata's tables, rows, schemas, indexes, primary indexes, and query history 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

Teradata: Teradata analytical database for enterprise workloads.

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

How Teradata entities map to Supabase

Teradata entitySupabase objectNotes
tablesteradata_d_tablesid PK · custom fields → jsonb columns
rowsteradata_d_rowsid PK · linked to teradata_d_tables
schemasteradata_d_schemasid PK · linked to teradata_d_tables
indexesteradata_d_indexesid PK · linked to teradata_d_tables

FAQ

How does Datrise handle Teradata'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 Teradata 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

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