DatriseAI-first ETL

DealerSocket PostgreSQL

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

How Datrise loads DealerSocket into PostgreSQL

Datrise syncs DealerSocket's contacts, accounts, deals, activities, and lifecycle events into PostgreSQL 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 each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.

Ideal for operational analytics and application backends that need fresh, queryable copies of your data.

Endpoints

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

PostgreSQL: Open-source relational database with strong SQL and extensions.

How DealerSocket entities map to PostgreSQL

DealerSocket entityPostgreSQL 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 PostgreSQL?

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 PostgreSQL types.

How does the DealerSocket to PostgreSQL sync stay up to date?

It runs incrementally — Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

Early access

Connect DealerSocket to PostgreSQL the easy way

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