DatriseAI-first ETL

ConvertKit to Amazon DynamoDB Integration

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

How Datrise loads ConvertKit into Amazon DynamoDB

Datrise syncs ConvertKit's subscribers, forms, sequences, tags, broadcasts, and email 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

ConvertKit: Email marketing built for creators.

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

How ConvertKit entities map to Amazon DynamoDB

ConvertKit entityAmazon DynamoDB objectNotes
subscribersconvertkit_subscribersid PK · custom fields → nested map/list attributes
formsconvertkit_formsid PK · linked to convertkit_subscribers
sequencesconvertkit_sequencesid PK · linked to convertkit_subscribers
tagsconvertkit_tagsid PK · linked to convertkit_subscribers

FAQ

How does Datrise handle ConvertKit'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 ConvertKit 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

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