Microsoft SQL Server to Domo Integration

How Datrise loads Microsoft SQL Server into Domo

Datrise syncs Microsoft SQL Server's tables, rows, schemas, indexes, primary keys, and change tracking into Domo as datasets in Domo's cloud store via connector. Flexible or custom fields land in flattened columns for Magic ETL, and timestamps such as created, updated, and status changes are typed as date/time columns.

Sync is incremental: Datrise uses partitioned dataset updates rather than full replaces, so re-runs update only what changed. Domo dataset partitions keyed on load date. Domo stores its own copy of data, so Datrise sends incremental partitions to avoid re-uploading whole datasets.

Ideal for all-in-one cloud BI with built-in ETL.

Endpoints

Microsoft SQL Server: Microsoft SQL Server transactional databases.

Domo: Cloud BI platform combining data integration and executive dashboards.

How Microsoft SQL Server entities map to Domo

Microsoft SQL Server entity	Domo object	Notes
tables	`mssql_sql_server_tables`	id PK · custom fields → flattened columns for Magic ETL
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 Domo?

Flexible values are stored as flattened columns for Magic ETL, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Domo types.

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

It runs incrementally — Datrise uses partitioned dataset updates rather than full replaces.

Related pipelines

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