DatriseAI-first ETL

Copper Neon

AI-first ETL from Copper into Neon. Governed entities, incremental sync, typed landing tables.

How Datrise loads Copper into Neon

Datrise syncs Copper's Google Workspace CRM entities, opportunities, and relationship timelines 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

Copper: Google Workspace-native CRM.

Neon: Serverless Postgres destination with branching and autoscaling.

How Copper entities map to Neon

Copper entityNeon objectNotes
Google Workspace CRM entitiescopper_google_workspace_crm_entitiesid PK · custom fields → jsonb columns
opportunitiescopper_opportunitiesid PK · linked to copper_google_workspace_crm_entities
relationship timelinescopper_relationship_timelinestimestamptz events

FAQ

How does Datrise handle Copper'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 Copper 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

Early access

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