DatriseAI-first ETL

Recurly MySQL

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

How Datrise loads Recurly into MySQL

Datrise syncs Recurly's subscriptions, invoices, plans, transactions, and dunning events into MySQL as a typed table per source entity. Flexible or custom fields land in JSON columns, and timestamps such as created, updated, and status changes are typed as DATETIME/TIMESTAMP.

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Optional RANGE partitioning by load date. MySQL collation matters for CRM text, so Datrise lands utf8mb4 to preserve emoji and non-Latin characters.

Ideal for operational reporting and app databases already standardized on MySQL.

Endpoints

Recurly: Subscription management and recurring billing platform.

MySQL: Widely used OSS relational engine (InnoDB).

How Recurly entities map to MySQL

Recurly entityMySQL objectNotes
subscriptionsrecurly_subscriptionsid PK · custom fields → 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 MySQL?

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

How does the Recurly to MySQL sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE.

Related pipelines

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