DatriseAI-first ETL

Mailshake to Supabase Integration

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

How Datrise loads Mailshake into Supabase

Datrise syncs Mailshake's campaigns, recipients, sequences, email events, replies, and leads 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

Mailshake: Cold outreach sequences and reply tracking.

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

How Mailshake entities map to Supabase

Mailshake entitySupabase objectNotes
campaignsmailshake_campaignsid PK · custom fields → jsonb columns
recipientsmailshake_recipientsid PK · linked to mailshake_campaigns
sequencesmailshake_sequencesid PK · linked to mailshake_campaigns
email eventsmailshake_email_eventstimestamptz events

FAQ

How does Datrise handle Mailshake'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 Mailshake 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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