Source Dynamodb → PostgreSQL
AI-first ETL from Source Dynamodb into PostgreSQL. Governed entities, incremental sync, typed landing tables.
How Datrise loads Source Dynamodb into PostgreSQL
Datrise syncs Source Dynamodb's records, events, and configuration objects 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
Source Dynamodb: SaaS or API data source for analytics and warehouse sync.
PostgreSQL: Open-source relational database with strong SQL and extensions.
How Source Dynamodb entities map to PostgreSQL
| Source Dynamodb entity | PostgreSQL object | Notes |
|---|---|---|
| records | source_dynamodb_records | id PK · custom fields → jsonb columns |
| events | source_dynamodb_events | timestamptz events |
| configuration objects | source_dynamodb_configuration_objects | id PK · linked to source_dynamodb_records |
FAQ
How does Datrise handle Source 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 Source 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 Source Dynamodb
- Source Dynamodb → MySQL
- Source Dynamodb → Microsoft SQL Server
- Source Dynamodb → Oracle Database
- Source Dynamodb → Snowflake
- Source Dynamodb → Google BigQuery
- Source Dynamodb → Amazon Redshift
- Source Dynamodb → Databricks SQL Warehouse
- Source Dynamodb → ClickHouse
- Source Dynamodb → DuckDB
- Source Dynamodb → Amazon Athena
- Source Dynamodb → Amazon S3 Data Lake
- Source Dynamodb → Azure Data Lake Storage
Early access
Connect Source Dynamodb to PostgreSQL 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.