Amazon S3 → Amazon DynamoDB
AI-first ETL from Amazon S3 into Amazon DynamoDB. Governed entities, incremental sync, typed landing tables.
How Datrise loads Amazon S3 into Amazon DynamoDB
Datrise syncs Amazon S3's records, events, and configuration objects 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
Amazon S3: SaaS or API data source for analytics and warehouse sync.
Amazon DynamoDB: Serverless key-value and document store on AWS.
How Amazon S3 entities map to Amazon DynamoDB
| Amazon S3 entity | Amazon DynamoDB object | Notes |
|---|---|---|
| records | s3_records | id PK · custom fields → nested map/list attributes |
| events | s3_events | ISO-8601 string or epoch number attributes events |
| configuration objects | s3_configuration_objects | id PK · linked to s3_records |
FAQ
How does Datrise handle Amazon S3'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 Amazon S3 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
More destinations for Amazon S3
More sources for Amazon DynamoDB
- Sailthru → Amazon DynamoDB
- Salesforce Marketing Cloud → Amazon DynamoDB
- Sap Fieldglass → Amazon DynamoDB
- Secoda → Amazon DynamoDB
- Selligent → Amazon DynamoDB
- Sendgrid Core → Amazon DynamoDB
- Sendinblue → Amazon DynamoDB
- Sendwithus → Amazon DynamoDB
- Senseforce → Amazon DynamoDB
- Sentry → Amazon DynamoDB
- Sftp Bulk → Amazon DynamoDB
- Shiphero → Amazon DynamoDB
Early access
Connect Amazon S3 to Amazon DynamoDB the easy way
Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.