Amazon DynamoDB to Azure Synapse Integration

How Datrise loads Amazon DynamoDB into Azure Synapse

Datrise syncs Amazon DynamoDB's tables, items, partition keys, sort keys, attributes, and stream records into Azure Synapse as a typed table per source entity. Flexible or custom fields land in NVARCHAR(MAX) JSON columns, and timestamps such as created, updated, and status changes are typed as datetime2.

Sync is incremental: Datrise uses COPY into staging, then a MERGE on stable id, so re-runs update only what changed. Hash distribution on the join id with date partitioning on facts. Synapse dedicated pools reward good hash-distribution choices, so Datrise distributes on entity ids to avoid data-movement-heavy joins.

Ideal for Azure analytics estates feeding Power BI.

Endpoints

Amazon DynamoDB: Serverless key-value and document store on AWS.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Amazon DynamoDB entities map to Azure Synapse

Amazon DynamoDB entity	Azure Synapse object	Notes
tables	`source_dynamodb_tables`	id PK · custom fields → NVARCHAR(MAX) JSON columns
items	`source_dynamodb_items`	id PK · linked to source_dynamodb_tables
partition keys	`source_dynamodb_partition_keys`	id PK · linked to source_dynamodb_tables
sort keys	`source_dynamodb_sort_keys`	id PK · linked to source_dynamodb_tables

FAQ

How does Datrise handle Amazon DynamoDB's custom fields in Azure Synapse?

Flexible values are stored as NVARCHAR(MAX) JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Azure Synapse types.

How does the Amazon DynamoDB to Azure Synapse sync stay up to date?

It runs incrementally — Datrise uses COPY into staging, then a MERGE on stable id.

Related pipelines

Early access

Connect Amazon DynamoDB to Azure Synapse 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.