Amazon DynamoDB to PlanetScale Integration
AI-first ETL from Amazon DynamoDB into PlanetScale. Governed entities, incremental sync, typed landing tables.
How Datrise loads Amazon DynamoDB into PlanetScale
Datrise syncs Amazon DynamoDB's tables, items, partition keys, sort keys, attributes, and stream records into PlanetScale as a typed table per source entity. Flexible or custom fields land in JSON columns, and timestamps such as created, updated, and status changes are typed as DATETIME.
Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Vitess sharding by tenant or entity key for very large tables. PlanetScale disallows foreign-key constraints by default, so Datrise models relationships by stable id columns rather than enforced FKs.
Ideal for horizontally scalable MySQL apps on Vitess.
Endpoints
Amazon DynamoDB: Serverless key-value and document store on AWS.
PlanetScale: Serverless MySQL platform with safe schema workflows.
How Amazon DynamoDB entities map to PlanetScale
| Amazon DynamoDB entity | PlanetScale object | Notes |
|---|---|---|
| tables | source_dynamodb_tables | id PK · custom fields → 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 PlanetScale?
Flexible values are stored as JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native PlanetScale types.
How does the Amazon DynamoDB to PlanetScale sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE.
Related pipelines
More destinations for Amazon DynamoDB
- Amazon DynamoDB → Amazon DynamoDB
- Amazon DynamoDB → Looker
- Amazon DynamoDB → Looker Studio
- Amazon DynamoDB → Microsoft Power BI
- Amazon DynamoDB → Tableau
- Amazon DynamoDB → Apache Superset
- Amazon DynamoDB → Metabase
- Amazon DynamoDB → Amazon QuickSight
- Amazon DynamoDB → Domo
- Amazon DynamoDB → Sisense
- Amazon DynamoDB → ThoughtSpot
- Amazon DynamoDB → Qlik
More sources for PlanetScale
Early access
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