Amazon DynamoDB to PostgreSQL Integration
AI-first ETL from Amazon DynamoDB into PostgreSQL. Governed entities, incremental sync, typed landing tables.
How Datrise loads Amazon DynamoDB into PostgreSQL
Datrise syncs Amazon DynamoDB's tables, items, partition keys, sort keys, attributes, and stream records into PostgreSQL as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.
Sync is incremental: Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.
Ideal for operational analytics and application backends that need fresh, queryable copies of your data.
Endpoints
Amazon DynamoDB: Serverless key-value and document store on AWS.
PostgreSQL: Open-source relational database with strong SQL and extensions.
How Amazon DynamoDB entities map to PostgreSQL
| Amazon DynamoDB entity | PostgreSQL object | Notes |
|---|---|---|
| tables | source_dynamodb_tables | id PK · custom fields → jsonb 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 PostgreSQL?
Flexible values are stored as jsonb columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native PostgreSQL types.
How does the Amazon DynamoDB to PostgreSQL sync stay up to date?
It runs incrementally — Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE.
Related pipelines
More destinations for Amazon DynamoDB
- Amazon DynamoDB → MySQL
- Amazon DynamoDB → Microsoft SQL Server
- Amazon DynamoDB → Oracle Database
- Amazon DynamoDB → Snowflake
- 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
Early access
Connect Amazon DynamoDB to PostgreSQL the easy way
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