Younium to DuckDB Integration

How Datrise loads Younium into DuckDB

Datrise syncs Younium's subscriptions, accounts, invoices, products, orders, and usage records into DuckDB as a typed table per source entity in a DuckDB file. Flexible or custom fields land in JSON or STRUCT columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP WITH TIME ZONE.

Sync is incremental: Datrise uses rewrites changed entities into the local database (or Parquet) on each run, so re-runs update only what changed. Hive-partitioned Parquet by load date when exporting. DuckDB is single-writer and embedded, so Datrise produces a consistent file snapshot rather than concurrent streaming writes.

Ideal for local and notebook analytics without standing up a server.

Endpoints

Younium: B2B subscription management and recurring billing.

DuckDB: In-process analytics database for fast local OLAP.

How Younium entities map to DuckDB

Younium entity	DuckDB object	Notes
subscriptions	`younium_subscriptions`	id PK · custom fields → JSON or STRUCT columns
accounts	`younium_accounts`	id PK · linked to younium_subscriptions
invoices	`younium_invoices`	id PK · linked to younium_subscriptions
products	`younium_products`	id PK · linked to younium_subscriptions

FAQ

How does Datrise handle Younium's custom fields in DuckDB?

Flexible values are stored as JSON or STRUCT columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native DuckDB types.

How does the Younium to DuckDB sync stay up to date?

It runs incrementally — Datrise uses rewrites changed entities into the local database (or Parquet) on each run.

Related pipelines

Early access

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