Apollo → Neon
AI-first ETL from Apollo into Neon. Governed entities, incremental sync, typed landing tables.
How Datrise loads Apollo into Neon
Datrise syncs Apollo's sales intelligence records, account engagement, and outbound activity into Neon as a typed table per source entity. 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 by load date. Neon separates compute from storage, so Datrise batches writes to keep autoscaling compute from cold-starting on every small change.
Ideal for serverless Postgres workloads that scale to zero between syncs.
Endpoints
Apollo: Sales intelligence and engagement platform with account-level activity.
Neon: Serverless Postgres destination with branching and autoscaling.
How Apollo entities map to Neon
| Apollo entity | Neon 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 Neon?
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 Neon types.
How does the Apollo to Neon 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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