Amazon DynamoDB to Databricks SQL Warehouse Integration
AI-first ETL from Amazon DynamoDB into Databricks SQL Warehouse. Governed entities, incremental sync, typed landing tables.
How Datrise loads Amazon DynamoDB into Databricks SQL Warehouse
Datrise syncs Amazon DynamoDB's tables, items, partition keys, sort keys, attributes, and stream records into Databricks SQL Warehouse as a Delta Lake table per source entity. Flexible or custom fields land in VARIANT or STRUCT columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP.
Sync is incremental: Datrise uses a Delta MERGE on stable id, with change history available via time travel, so re-runs update only what changed. Delta partitioning by load date with OPTIMIZE/Z-ORDER on query keys. Datrise writes Unity Catalog–governed Delta tables, so lineage and permissions are managed centrally rather than per-notebook.
Ideal for lakehouse analytics and ML feature tables on Databricks.
Endpoints
Amazon DynamoDB: Serverless key-value and document store on AWS.
Databricks SQL Warehouse: Lakehouse SQL endpoints over Delta tables.
How Amazon DynamoDB entities map to Databricks SQL Warehouse
| Amazon DynamoDB entity | Databricks SQL Warehouse object | Notes |
|---|---|---|
| tables | source_dynamodb_tables | id PK · custom fields → VARIANT or STRUCT 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 Databricks SQL Warehouse?
Flexible values are stored as VARIANT or STRUCT columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Databricks SQL Warehouse types.
How does the Amazon DynamoDB to Databricks SQL Warehouse sync stay up to date?
It runs incrementally — Datrise uses a Delta MERGE on stable id, with change history available via time travel.
Related pipelines
More destinations for Amazon DynamoDB
- 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
- Amazon DynamoDB → MongoDB
- Amazon DynamoDB → Supabase
- Amazon DynamoDB → Neon
More sources for Databricks SQL Warehouse
- SparkPost → Databricks SQL Warehouse
- StackAdapt → Databricks SQL Warehouse
- Statuspage → Databricks SQL Warehouse
- SurveyCTO → Databricks SQL Warehouse
- SurveySparrow → Databricks SQL Warehouse
- Taboola → Databricks SQL Warehouse
- Tempo → Databricks SQL Warehouse
- Teradata → Databricks SQL Warehouse
- The Guardian API → Databricks SQL Warehouse
- TiDB → Databricks SQL Warehouse
- TikTok Ads → Databricks SQL Warehouse
- Timely → Databricks SQL Warehouse
Early access
Connect Amazon DynamoDB to Databricks SQL Warehouse the easy way
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