Amazon S3 to Spreadsheets Integration
AI-first ETL from Amazon S3 into Spreadsheets. Governed entities, incremental sync, typed landing tables.
How Datrise loads Amazon S3 into Spreadsheets
Datrise syncs Amazon S3's buckets, objects, prefixes, object metadata, versions, and storage classes into Spreadsheets as a tab per source entity. Flexible or custom fields land in JSON-stringified cells for nested fields, and timestamps such as created, updated, and status changes are typed as ISO-8601 text or serial date cells.
Sync is incremental: Datrise uses refreshes the tab's rows each run, preserving header order, so re-runs update only what changed. Sheets caps out around the low millions of cells, so Datrise lands a curated column set rather than every raw field.
Ideal for lightweight, shareable reporting for non-technical teams.
Endpoints
Amazon S3: Object storage for files, exports, and data lakes.
Spreadsheets: Business-friendly spreadsheet destination for collaborative analysis.
How Amazon S3 entities map to Spreadsheets
| Amazon S3 entity | Spreadsheets object | Notes |
|---|---|---|
| buckets | s3_buckets | id PK · custom fields → JSON-stringified cells for nested fields |
| objects | s3_objects | id PK · linked to s3_buckets |
| prefixes | s3_prefixes | id PK · linked to s3_buckets |
| object metadata | s3_object_metadata | id PK · linked to s3_buckets |
FAQ
How does Datrise handle Amazon S3's custom fields in Spreadsheets?
Flexible values are stored as JSON-stringified cells for nested fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Spreadsheets types.
How does the Amazon S3 to Spreadsheets sync stay up to date?
It runs incrementally — Datrise uses refreshes the tab's rows each run, preserving header order.
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Early access
Connect Amazon S3 to Spreadsheets the easy way
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