DatriseAI-first ETL

Redtail CRM to Neon Integration

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

How Datrise loads Redtail CRM into Neon

Datrise syncs Redtail CRM's contacts, accounts, activities, workflows, notes, and opportunities 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

Redtail CRM: Advisor CRM with client records and compliance notes.

Neon: Serverless Postgres destination with branching and autoscaling.

How Redtail CRM entities map to Neon

Redtail CRM entityNeon objectNotes
contactsredtail_contactsid PK · custom fields → jsonb columns
accountsredtail_accountsid PK · linked to redtail_contacts
activitiesredtail_activitiestimestamptz events
workflowsredtail_workflowsid PK · linked to redtail_contacts

FAQ

How does Datrise handle Redtail CRM'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 Redtail CRM 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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