Microsoft SQL Server to MongoDB Integration

How Datrise loads Microsoft SQL Server into MongoDB

Datrise syncs Microsoft SQL Server's tables, rows, schemas, indexes, primary keys, and change tracking into MongoDB as a collection per source entity. Flexible or custom fields land in native nested documents, and timestamps such as created, updated, and status changes are typed as BSON Date.

Sync is incremental: Datrise uses upserts by stable id with updateOne(upsert) on the source primary key, so re-runs update only what changed. Optional sharding on the entity id for large collections. Mongo has no fixed schema, so Datrise keeps field types consistent across documents to avoid mixed-type query surprises.

Ideal for document-oriented apps that want CRM data in their existing Mongo store.

Endpoints

Microsoft SQL Server: Microsoft SQL Server transactional databases.

MongoDB: Document database for flexible schemas.

How Microsoft SQL Server entities map to MongoDB

Microsoft SQL Server entity	MongoDB object	Notes
tables	`mssql_sql_server_tables`	id PK · custom fields → native nested documents
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 MongoDB?

Flexible values are stored as native nested documents, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native MongoDB types.

How does the Microsoft SQL Server to MongoDB sync stay up to date?

It runs incrementally — Datrise uses upserts by stable id with updateOne(upsert) on the source primary key.

Related pipelines

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