DatriseAI-first ETL

Younium to PostgreSQL Integration

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

How Datrise loads Younium into PostgreSQL

Datrise syncs Younium's subscriptions, accounts, invoices, products, orders, and usage records 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

Younium: B2B subscription management and recurring billing.

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

How Younium entities map to PostgreSQL

Younium entityPostgreSQL objectNotes
subscriptionsyounium_subscriptionsid PK · custom fields → jsonb columns
accountsyounium_accountsid PK · linked to younium_subscriptions
invoicesyounium_invoicesid PK · linked to younium_subscriptions
productsyounium_productsid PK · linked to younium_subscriptions

FAQ

How does Datrise handle Younium'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 Younium 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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