DatriseAI-first ETL

Recharge Amazon DynamoDB

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

How Datrise loads Recharge into Amazon DynamoDB

Datrise syncs Recharge's subscriptions, charges, customers, plans, and churn events into Amazon DynamoDB as an item per source record in a table per entity. Flexible or custom fields land in nested map/list attributes, and timestamps such as created, updated, and status changes are typed as ISO-8601 string or epoch number attributes.

Sync is incremental: Datrise uses PutItem/UpdateItem keyed on a partition key derived from the entity id, so re-runs update only what changed. Partition-key design on the entity id to spread throughput evenly. DynamoDB rewards access-pattern-first key design, so Datrise sets partition/sort keys from your entity ids rather than scan-heavy defaults.

Ideal for serverless apps needing single-digit-millisecond key lookups on CRM data.

Endpoints

Recharge: Subscription commerce for Shopify and recurring billing.

Amazon DynamoDB: Serverless key-value and document store on AWS.

How Recharge entities map to Amazon DynamoDB

Recharge entityAmazon DynamoDB objectNotes
subscriptionsrecharge_subscriptionsid PK · custom fields → nested map/list attributes
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 Amazon DynamoDB?

Flexible values are stored as nested map/list attributes, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Amazon DynamoDB types.

How does the Recharge to Amazon DynamoDB sync stay up to date?

It runs incrementally — Datrise uses PutItem/UpdateItem keyed on a partition key derived from the entity id.

Related pipelines

Early access

Connect Recharge to Amazon DynamoDB the easy way

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