DatriseAI-first ETL

Mssql SQL Server MySQL

AI-first ETL from Mssql SQL Server into MySQL. Governed entities, incremental sync, typed landing tables.

How Datrise loads Mssql SQL Server into MySQL

Datrise syncs Mssql SQL Server's records, events, and configuration objects 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

Mssql SQL Server: SaaS or API data source for analytics and warehouse sync.

MySQL: Widely used OSS relational engine (InnoDB).

How Mssql SQL Server entities map to MySQL

Mssql SQL Server entityMySQL objectNotes
recordsmssql_sql_server_recordsid PK · custom fields → JSON columns
eventsmssql_sql_server_eventsDATETIME/TIMESTAMP events
configuration objectsmssql_sql_server_configuration_objectsid PK · linked to mssql_sql_server_records

FAQ

How does Datrise handle Mssql 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 Mssql 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

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