DatriseAI-first ETL

DealerSocket Neon

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

How Datrise loads DealerSocket into Neon

Datrise syncs DealerSocket's contacts, accounts, deals, activities, and lifecycle events 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

DealerSocket: Automotive dealer CRM for leads, inventory, and showroom workflows.

Neon: Serverless Postgres destination with branching and autoscaling.

How DealerSocket entities map to Neon

DealerSocket entityNeon objectNotes
contactsdealersocket_contactsid PK · custom fields → jsonb columns
accountsdealersocket_accountsid PK · linked to dealersocket_contacts
dealsdealersocket_dealsid PK · linked to dealersocket_contacts
activitiesdealersocket_activitiestimestamptz events

FAQ

How does Datrise handle DealerSocket'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 DealerSocket 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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