Apollo → Supabase
AI-first ETL from Apollo into Supabase. Governed entities, incremental sync, typed landing tables.
How Datrise loads Apollo into Supabase
Datrise syncs Apollo's sales intelligence records, account engagement, and outbound activity 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
Apollo: Sales intelligence and engagement platform with account-level activity.
Supabase: Postgres platform with auth, storage, and realtime APIs.
How Apollo entities map to Supabase
| Apollo entity | Supabase object | Notes |
|---|---|---|
| sales intelligence records | apollo_sales_intelligence_records | id PK · custom fields → jsonb columns |
| account engagement | apollo_account_engagement | id PK · linked to apollo_sales_intelligence_records |
| outbound activity | apollo_outbound_activity | timestamptz events |
FAQ
How does Datrise handle Apollo'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 Apollo 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
More destinations for Apollo
Early access
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