DatriseAI-first ETL

Ploomes to Supabase Integration

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

How Datrise loads Ploomes into Supabase

Datrise syncs Ploomes's contacts, companies, deals, quotes, products, and pipeline stages 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

Ploomes: CRM with quoting and product catalogs for Brazilian sales.

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

How Ploomes entities map to Supabase

Ploomes entitySupabase objectNotes
contactsploomes_contactsid PK · custom fields → jsonb columns
companiesploomes_companiesid PK · linked to ploomes_contacts
dealsploomes_dealsid PK · linked to ploomes_contacts
quotesploomes_quotesid PK · linked to ploomes_contacts

FAQ

How does Datrise handle Ploomes'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 Ploomes 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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