Azure Table Storage to Amazon DynamoDB Integration

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 tables, entities, partition keys, row keys, properties, and timestamps 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: Key-value NoSQL store on Azure.

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
tables	`azure_table_storage_tables`	id PK · custom fields → nested map/list attributes
entities	`azure_table_storage_entities`	id PK · linked to azure_table_storage_tables
partition keys	`azure_table_storage_partition_keys`	id PK · linked to azure_table_storage_tables
row keys	`azure_table_storage_row_keys`	id PK · linked to azure_table_storage_tables

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

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