DatriseAI-first ETL

Reply.io to Supabase Integration

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

How Datrise loads Reply.io into Supabase

Datrise syncs Reply.io's campaigns, prospects, sequences, email events, calls, and replies 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

Reply.io: Multichannel sales engagement sequences.

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

How Reply.io entities map to Supabase

Reply.io entitySupabase objectNotes
campaignsreply_io_campaignsid PK · custom fields → jsonb columns
prospectsreply_io_prospectsid PK · linked to reply_io_campaigns
sequencesreply_io_sequencesid PK · linked to reply_io_campaigns
email eventsreply_io_email_eventstimestamptz events

FAQ

How does Datrise handle Reply.io'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 Reply.io 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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