DatriseAI-first ETL

Recurly Azure Synapse

AI-first ETL from Recurly into Azure Synapse. Governed entities, incremental sync, typed landing tables.

How Datrise loads Recurly into Azure Synapse

Datrise syncs Recurly's subscriptions, invoices, plans, transactions, and dunning events into Azure Synapse 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 COPY into staging, then a MERGE on stable id, so re-runs update only what changed. Hash distribution on the join id with date partitioning on facts. Synapse dedicated pools reward good hash-distribution choices, so Datrise distributes on entity ids to avoid data-movement-heavy joins.

Ideal for Azure analytics estates feeding Power BI.

Endpoints

Recurly: Subscription management and recurring billing platform.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Recurly entities map to Azure Synapse

Recurly entityAzure Synapse 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 Azure Synapse?

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 Azure Synapse types.

How does the Recurly to Azure Synapse sync stay up to date?

It runs incrementally — Datrise uses COPY into staging, then a MERGE on stable id.

Related pipelines

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