DatriseAI-first ETL

Recharge PostgreSQL

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

How Datrise loads Recharge into PostgreSQL

Datrise syncs Recharge's subscriptions, charges, customers, plans, and churn 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

Recharge: Subscription commerce for Shopify and recurring billing.

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

How Recharge entities map to PostgreSQL

Recharge entityPostgreSQL objectNotes
subscriptionsrecharge_subscriptionsid PK · custom fields → jsonb columns
chargesrecharge_chargesid PK · linked to recharge_subscriptions
customersrecharge_customersid PK · linked to recharge_subscriptions
plansrecharge_plansid PK · linked to recharge_subscriptions

FAQ

How does Datrise handle Recharge'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 Recharge 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

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