Recharge → MicroStrategy
AI-first ETL from Recharge into MicroStrategy. Governed entities, incremental sync, typed landing tables.
How Datrise loads Recharge into MicroStrategy
Datrise syncs Recharge's subscriptions, charges, customers, plans, and churn events into MicroStrategy as warehouse tables for MicroStrategy's schema objects. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.
Sync is incremental: Datrise uses incremental refresh of the warehouse tables behind attributes and metrics, so re-runs update only what changed. Date-partitioned facts. MicroStrategy maps attributes to columns, so Datrise lands stable keys and names so metrics don't break.
Ideal for large-scale enterprise reporting and governance.
Endpoints
Recharge: Subscription commerce for Shopify and recurring billing.
MicroStrategy: Enterprise BI with dossiers, governed metrics, and mobility.
How Recharge entities map to MicroStrategy
| Recharge entity | MicroStrategy object | Notes |
|---|---|---|
| subscriptions | recharge_subscriptions | id PK · custom fields → flattened columns |
| charges | recharge_charges | id PK · linked to recharge_subscriptions |
| customers | recharge_customers | id PK · linked to recharge_subscriptions |
| plans | recharge_plans | id PK · linked to recharge_subscriptions |
FAQ
How does Datrise handle Recharge's custom fields in MicroStrategy?
Flexible values are stored as flattened columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native MicroStrategy types.
How does the Recharge to MicroStrategy sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the warehouse tables behind attributes and metrics.
Related pipelines
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Early access
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