DatriseAI-first ETL

Smartsheet to Amazon DynamoDB Integration

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

How Datrise loads Smartsheet into Amazon DynamoDB

Datrise syncs Smartsheet's sheets, rows, columns, cells, attachments, and comments 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

Smartsheet: Spreadsheet-style work and project management.

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

How Smartsheet entities map to Amazon DynamoDB

Smartsheet entityAmazon DynamoDB objectNotes
sheetssmartsheets_sheetsid PK · custom fields → nested map/list attributes
rowssmartsheets_rowsid PK · linked to smartsheets_sheets
columnssmartsheets_columnsid PK · linked to smartsheets_sheets
cellssmartsheets_cellsid PK · linked to smartsheets_sheets

FAQ

How does Datrise handle Smartsheet'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 Smartsheet 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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