DatriseAI-first ETL

Sftp Bulk Amazon DynamoDB

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

How Datrise loads Sftp Bulk into Amazon DynamoDB

Datrise syncs Sftp Bulk'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

Sftp Bulk: SaaS or API data source for analytics and warehouse sync.

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

How Sftp Bulk entities map to Amazon DynamoDB

Sftp Bulk entityAmazon DynamoDB objectNotes
recordssftp_bulk_recordsid PK · custom fields → nested map/list attributes
eventssftp_bulk_eventsISO-8601 string or epoch number attributes events
configuration objectssftp_bulk_configuration_objectsid PK · linked to sftp_bulk_records

FAQ

How does Datrise handle Sftp Bulk'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 Sftp Bulk 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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