Google BigQuery to Amazon DynamoDB Integration
AI-first ETL from Google BigQuery into Amazon DynamoDB. Governed entities, incremental sync, typed landing tables.
How Datrise loads Google BigQuery into Amazon DynamoDB
Datrise syncs Google BigQuery's datasets, tables, views, query jobs, table schemas, and partitions 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 BigQuery: Serverless analytics warehouse on Google Cloud.
Amazon DynamoDB: Serverless key-value and document store on AWS.
How Google BigQuery entities map to Amazon DynamoDB
| Google BigQuery entity | Amazon DynamoDB object | Notes |
|---|---|---|
| datasets | bigquery_datasets | id PK · custom fields → nested map/list attributes |
| tables | bigquery_tables | id PK · linked to bigquery_datasets |
| views | bigquery_views | id PK · linked to bigquery_datasets |
| query jobs | bigquery_query_jobs | id PK · linked to bigquery_datasets |
FAQ
How does Datrise handle Google BigQuery'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 BigQuery 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 BigQuery
- Google BigQuery → Looker
- Google BigQuery → Looker Studio
- Google BigQuery → Microsoft Power BI
- Google BigQuery → Tableau
- Google BigQuery → Apache Superset
- Google BigQuery → Metabase
- Google BigQuery → Amazon QuickSight
- Google BigQuery → Domo
- Google BigQuery → Sisense
- Google BigQuery → ThoughtSpot
- Google BigQuery → Qlik
- Google BigQuery → Mode
More sources for Amazon DynamoDB
- Branch → Amazon DynamoDB
- Braze → Amazon DynamoDB
- Bronto → Amazon DynamoDB
- CallRail → Amazon DynamoDB
- Campaign Monitor → Amazon DynamoDB
- Cart → Amazon DynamoDB
- ChartMogul → Amazon DynamoDB
- CircleCI → Amazon DynamoDB
- CleverTap → Amazon DynamoDB
- ClickHouse → Amazon DynamoDB
- Clockify → Amazon DynamoDB
- Club Speed → Amazon DynamoDB
Early access
Connect Google BigQuery 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.