DatriseAI-first ETL

Klaviyo Amazon DynamoDB

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

How Datrise loads Klaviyo into Amazon DynamoDB

Datrise syncs Klaviyo's profiles, segments, flows, campaigns, and attributed revenue 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

Klaviyo: E-commerce marketing automation with email and SMS.

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

How Klaviyo entities map to Amazon DynamoDB

Klaviyo entityAmazon DynamoDB objectNotes
profilesklaviyo_profilesid PK · custom fields → nested map/list attributes
segmentsklaviyo_segmentsid PK · linked to klaviyo_profiles
flowsklaviyo_flowsid PK · linked to klaviyo_profiles
campaignsklaviyo_campaignsid PK · linked to klaviyo_profiles

FAQ

How does Datrise handle Klaviyo'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 Klaviyo 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

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