Microsoft SQL Server to MySQL Integration
AI-first ETL from Microsoft SQL Server into MySQL. Governed entities, incremental sync, typed landing tables.
How Datrise loads Microsoft SQL Server into MySQL
Datrise syncs Microsoft SQL Server's tables, rows, schemas, indexes, primary keys, and change tracking into MySQL 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/TIMESTAMP.
Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Optional RANGE partitioning by load date. MySQL collation matters for CRM text, so Datrise lands utf8mb4 to preserve emoji and non-Latin characters.
Ideal for operational reporting and app databases already standardized on MySQL.
Endpoints
Microsoft SQL Server: Microsoft SQL Server transactional databases.
MySQL: Widely used OSS relational engine (InnoDB).
How Microsoft SQL Server entities map to MySQL
| Microsoft SQL Server entity | MySQL 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 MySQL?
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 MySQL types.
How does the Microsoft SQL Server to MySQL 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 → Microsoft SQL Server
- Microsoft SQL Server → Oracle Database
- Microsoft SQL Server → Snowflake
- Microsoft SQL Server → Google BigQuery
- Microsoft SQL Server → Amazon Redshift
- Microsoft SQL Server → Databricks SQL Warehouse
- Microsoft SQL Server → ClickHouse
- Microsoft SQL Server → DuckDB
- Microsoft SQL Server → Amazon Athena
- Microsoft SQL Server → Amazon S3 Data Lake
- Microsoft SQL Server → Azure Data Lake Storage
- Microsoft SQL Server → Azure Synapse
Early access
Connect Microsoft SQL Server to MySQL 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.