DatriseAI-first ETL

Recurly Microsoft SQL Server

AI-first ETL from Recurly into Microsoft SQL Server. Governed entities, incremental sync, typed landing tables.

How Datrise loads Recurly into Microsoft SQL Server

Datrise syncs Recurly's subscriptions, invoices, plans, transactions, and dunning events into Microsoft SQL Server as a typed table per source entity. Flexible or custom fields land in NVARCHAR(MAX) JSON columns, and timestamps such as created, updated, and status changes are typed as datetime2.

Sync is incremental: Datrise uses a watermark on updated-at, applied with a MERGE statement, so re-runs update only what changed. Optional partitioned tables on a date partition function. SQL Server defaults to a case-insensitive collation, so Datrise preserves original casing in a metadata column to avoid silent key collisions.

Ideal for Microsoft-stack analytics and Power BI Import models.

Endpoints

Recurly: Subscription management and recurring billing platform.

Microsoft SQL Server: Microsoft relational DB with enterprise features.

How Recurly entities map to Microsoft SQL Server

Recurly entityMicrosoft SQL Server objectNotes
subscriptionsrecurly_subscriptionsid PK · custom fields → NVARCHAR(MAX) JSON columns
invoicesrecurly_invoicesid PK · linked to recurly_subscriptions
plansrecurly_plansid PK · linked to recurly_subscriptions
transactionsrecurly_transactionsid PK · linked to recurly_subscriptions

FAQ

How does Datrise handle Recurly's custom fields in Microsoft SQL Server?

Flexible values are stored as NVARCHAR(MAX) JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Microsoft SQL Server types.

How does the Recurly to Microsoft SQL Server sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with a MERGE statement.

Related pipelines

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