DatriseAI-first ETL

3PL Central to PostgreSQL Integration

AI-first ETL from 3PL Central into PostgreSQL. Governed entities, incremental sync, typed landing tables.

How Datrise loads 3PL Central into PostgreSQL

Datrise syncs 3PL Central's orders, receipts, inventory levels, items, customers, and warehouses 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

3PL Central: Third-party logistics warehouse and order operations.

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

How 3PL Central entities map to PostgreSQL

3PL Central entityPostgreSQL objectNotes
orderstplcentral_ordersid PK · custom fields → jsonb columns
receiptstplcentral_receiptsid PK · linked to tplcentral_orders
inventory levelstplcentral_inventory_levelsid PK · linked to tplcentral_orders
itemstplcentral_itemsid PK · linked to tplcentral_orders

FAQ

How does Datrise handle 3PL Central'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 3PL Central 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

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