Azure Table Storage to PlanetScale Integration
AI-first ETL from Azure Table Storage into PlanetScale. Governed entities, incremental sync, typed landing tables.
How Datrise loads Azure Table Storage into PlanetScale
Datrise syncs Azure Table Storage's tables, entities, partition keys, row keys, properties, and timestamps 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
Azure Table Storage: Key-value NoSQL store on Azure.
PlanetScale: Serverless MySQL platform with safe schema workflows.
How Azure Table Storage entities map to PlanetScale
| Azure Table Storage entity | PlanetScale object | Notes |
|---|---|---|
| tables | azure_table_storage_tables | id PK · custom fields → JSON columns |
| entities | azure_table_storage_entities | id PK · linked to azure_table_storage_tables |
| partition keys | azure_table_storage_partition_keys | id PK · linked to azure_table_storage_tables |
| row keys | azure_table_storage_row_keys | id PK · linked to azure_table_storage_tables |
FAQ
How does Datrise handle Azure Table Storage'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 Azure Table Storage 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 Azure Table Storage
- Azure Table Storage → Amazon DynamoDB
- Azure Table Storage → Looker
- Azure Table Storage → Looker Studio
- Azure Table Storage → Microsoft Power BI
- Azure Table Storage → Tableau
- Azure Table Storage → Apache Superset
- Azure Table Storage → Metabase
- Azure Table Storage → Amazon QuickSight
- Azure Table Storage → Domo
- Azure Table Storage → Sisense
- Azure Table Storage → ThoughtSpot
- Azure Table Storage → Qlik
More sources for PlanetScale
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