DatriseAI-first ETL

Smaily to Amazon DynamoDB Integration

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

How Datrise loads Smaily into Amazon DynamoDB

Datrise syncs Smaily's subscribers, campaigns, lists, autoresponders, email events, and segments 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

Smaily: Email and SMS campaigns with subscriber segments.

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

How Smaily entities map to Amazon DynamoDB

Smaily entityAmazon DynamoDB objectNotes
subscriberssmaily_subscribersid PK · custom fields → nested map/list attributes
campaignssmaily_campaignsid PK · linked to smaily_subscribers
listssmaily_listsid PK · linked to smaily_subscribers
autoresponderssmaily_autorespondersid PK · linked to smaily_subscribers

FAQ

How does Datrise handle Smaily'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 Smaily 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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