Amazon DynamoDB to Snowflake Integration
AI-first ETL from Amazon DynamoDB into Snowflake. Governed entities, incremental sync, typed landing tables.
How Datrise loads Amazon DynamoDB into Snowflake
Datrise syncs Amazon DynamoDB's tables, items, partition keys, sort keys, attributes, and stream records into Snowflake as a typed table per source entity. Flexible or custom fields land in VARIANT columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP_TZ.
Sync is incremental: Datrise uses staged loads merged on stable id with MERGE, so credits scale with change volume, not table size, so re-runs update only what changed. Automatic micro-partitioning, with optional clustering keys on high-cardinality ids. Snowflake upper-cases unquoted identifiers, so Datrise standardizes on lower-case quoted names to keep column references stable.
Ideal for central analytics warehouses feeding BI and AI workloads.
Endpoints
Amazon DynamoDB: Serverless key-value and document store on AWS.
Snowflake: Cloud data warehouse with separated compute and storage.
How Amazon DynamoDB entities map to Snowflake
| Amazon DynamoDB entity | Snowflake object | Notes |
|---|---|---|
| tables | source_dynamodb_tables | id PK · custom fields → VARIANT 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 Snowflake?
Flexible values are stored as VARIANT columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Snowflake types.
How does the Amazon DynamoDB to Snowflake sync stay up to date?
It runs incrementally — Datrise uses staged loads merged on stable id with MERGE, so credits scale with change volume, not table size.
Related pipelines
More destinations for Amazon DynamoDB
- Amazon DynamoDB → Google BigQuery
- Amazon DynamoDB → Amazon Redshift
- Amazon DynamoDB → Databricks SQL Warehouse
- Amazon DynamoDB → ClickHouse
- Amazon DynamoDB → DuckDB
- Amazon DynamoDB → Amazon Athena
- Amazon DynamoDB → Amazon S3 Data Lake
- Amazon DynamoDB → Azure Data Lake Storage
- Amazon DynamoDB → Azure Synapse
- Amazon DynamoDB → Spreadsheets
- Amazon DynamoDB → Airtable
- Amazon DynamoDB → CSV Files
Early access
Connect Amazon DynamoDB to Snowflake 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.