Azure Table Storage → Amazon DynamoDB
AI-first ETL from Azure Table Storage into Amazon DynamoDB. Governed entities, incremental sync, typed landing tables.
How Datrise loads Azure Table Storage into Amazon DynamoDB
Datrise syncs Azure Table Storage'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
Azure Table Storage: SaaS or API data source for analytics and warehouse sync.
Amazon DynamoDB: Serverless key-value and document store on AWS.
How Azure Table Storage entities map to Amazon DynamoDB
| Azure Table Storage entity | Amazon DynamoDB object | Notes |
|---|---|---|
| records | azure_table_storage_records | id PK · custom fields → nested map/list attributes |
| events | azure_table_storage_events | ISO-8601 string or epoch number attributes events |
| configuration objects | azure_table_storage_configuration_objects | id PK · linked to azure_table_storage_records |
FAQ
How does Datrise handle Azure Table 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 Azure Table 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 Azure Table Storage
- Azure Table Storage → Looker
- Azure Table Storage → Looker Studio
- Azure Table Storage → Microsoft Power BI
- Azure Table Storage → Tableau
- Azure Table Storage → Apache Superset
- Azure Table Storage → Metabase
- Azure Table Storage → Amazon QuickSight
- Azure Table Storage → Domo
- Azure Table Storage → Sisense
- Azure Table Storage → ThoughtSpot
- Azure Table Storage → Qlik
- Azure Table Storage → Mode
More sources for Amazon DynamoDB
- Azureblobstorage → Amazon DynamoDB
- Babelforce → Amazon DynamoDB
- Bigcommerce → Amazon DynamoDB
- Bigquery → Amazon DynamoDB
- Branch → Amazon DynamoDB
- Braze → Amazon DynamoDB
- Breezometer → Amazon DynamoDB
- Bronto → Amazon DynamoDB
- Callrail → Amazon DynamoDB
- Campaign Monitor → Amazon DynamoDB
- Cart → Amazon DynamoDB
- Chartmogul → Amazon DynamoDB
Early access
Connect Azure Table 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.