Azure Table Storage → PlanetScale
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 records, events, and configuration objects 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: SaaS or API data source for analytics and warehouse sync.
PlanetScale: Serverless MySQL platform with safe schema workflows.
How Azure Table Storage entities map to PlanetScale
| Azure Table Storage entity | PlanetScale object | Notes |
|---|---|---|
| records | azure_table_storage_records | id PK · custom fields → JSON columns |
| events | azure_table_storage_events | DATETIME events |
| configuration objects | azure_table_storage_configuration_objects | id PK · linked to azure_table_storage_records |
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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