Google Cloud Storage to Amazon DynamoDB Integration
AI-first ETL from Google Cloud Storage into Amazon DynamoDB. Governed entities, incremental sync, typed landing tables.
How Datrise loads Google Cloud Storage into Amazon DynamoDB
Datrise syncs Google Cloud Storage's buckets, objects, prefixes, object metadata, generations, and storage classes 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
Google Cloud Storage: Object storage for files and data lake exports on GCP.
Amazon DynamoDB: Serverless key-value and document store on AWS.
How Google Cloud Storage entities map to Amazon DynamoDB
| Google Cloud Storage entity | Amazon DynamoDB object | Notes |
|---|---|---|
| buckets | google_cloud_storage_f_buckets | id PK · custom fields → nested map/list attributes |
| objects | google_cloud_storage_f_objects | id PK · linked to google_cloud_storage_f_buckets |
| prefixes | google_cloud_storage_f_prefixes | id PK · linked to google_cloud_storage_f_buckets |
| object metadata | google_cloud_storage_f_object_metadata | id PK · linked to google_cloud_storage_f_buckets |
FAQ
How does Datrise handle Google Cloud Storage'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 Google Cloud Storage 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 Google Cloud Storage
- Google Cloud Storage → Looker
- Google Cloud Storage → Looker Studio
- Google Cloud Storage → Microsoft Power BI
- Google Cloud Storage → Tableau
- Google Cloud Storage → Apache Superset
- Google Cloud Storage → Metabase
- Google Cloud Storage → Amazon QuickSight
- Google Cloud Storage → Domo
- Google Cloud Storage → Sisense
- Google Cloud Storage → ThoughtSpot
- Google Cloud Storage → Qlik
- Google Cloud Storage → Mode
More sources for Amazon DynamoDB
- Google Directory → Amazon DynamoDB
- Google Ecommerce → Amazon DynamoDB
- Google PageSpeed Insights → Amazon DynamoDB
- Greenhouse → Amazon DynamoDB
- Gridly → Amazon DynamoDB
- Harness → Amazon DynamoDB
- Harvest Forecast → Amazon DynamoDB
- Heap → Amazon DynamoDB
- Hellobaton → Amazon DynamoDB
- Heroku → Amazon DynamoDB
- PostgreSQL → Amazon DynamoDB
- Hubplanner → Amazon DynamoDB
Early access
Connect Google Cloud Storage 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.