Microsoft SQL Server to PlanetScale Integration
AI-first ETL from Microsoft SQL Server into PlanetScale. Governed entities, incremental sync, typed landing tables.
How Datrise loads Microsoft SQL Server into PlanetScale
Datrise syncs Microsoft SQL Server's tables, rows, schemas, indexes, primary keys, and change tracking 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
Microsoft SQL Server: Microsoft SQL Server transactional databases.
PlanetScale: Serverless MySQL platform with safe schema workflows.
How Microsoft SQL Server entities map to PlanetScale
| Microsoft SQL Server entity | PlanetScale object | Notes |
|---|---|---|
| tables | mssql_sql_server_tables | id PK · custom fields → JSON columns |
| rows | mssql_sql_server_rows | id PK · linked to mssql_sql_server_tables |
| schemas | mssql_sql_server_schemas | id PK · linked to mssql_sql_server_tables |
| indexes | mssql_sql_server_indexes | id PK · linked to mssql_sql_server_tables |
FAQ
How does Datrise handle Microsoft SQL Server'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 Microsoft SQL Server 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 Microsoft SQL Server
- Microsoft SQL Server → Amazon DynamoDB
- Microsoft SQL Server → Looker
- Microsoft SQL Server → Looker Studio
- Microsoft SQL Server → Microsoft Power BI
- Microsoft SQL Server → Tableau
- Microsoft SQL Server → Apache Superset
- Microsoft SQL Server → Metabase
- Microsoft SQL Server → Amazon QuickSight
- Microsoft SQL Server → Domo
- Microsoft SQL Server → Sisense
- Microsoft SQL Server → ThoughtSpot
- Microsoft SQL Server → Qlik
More sources for PlanetScale
Early access
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