DatriseAI-first ETL

Ip2whois Supabase

AI-first ETL from Ip2whois into Supabase. Governed entities, incremental sync, typed landing tables.

How Datrise loads Ip2whois into Supabase

Datrise syncs Ip2whois's records, events, and configuration objects 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

Ip2whois: SaaS or API data source for analytics and warehouse sync.

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

How Ip2whois entities map to Supabase

Ip2whois entitySupabase objectNotes
recordsip2whois_recordsid PK · custom fields → jsonb columns
eventsip2whois_eventstimestamptz events
configuration objectsip2whois_configuration_objectsid PK · linked to ip2whois_records

FAQ

How does Datrise handle Ip2whois'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 Ip2whois 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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