DatriseAI-first ETL

Microsoft SQL Server to GoodData Integration

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

How Datrise loads Microsoft SQL Server into GoodData

Datrise syncs Microsoft SQL Server's tables, rows, schemas, indexes, primary keys, and change tracking into GoodData as warehouse tables GoodData maps into its logical data model. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date dimensions.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. GoodData's LDM maps datasets by keys, so Datrise lands stable primary and foreign id columns to keep the model valid.

Ideal for embedded, multi-tenant analytics.

Endpoints

Microsoft SQL Server: Microsoft SQL Server transactional databases.

GoodData: Composable analytics platform with headless BI and embedded dashboards.

How Microsoft SQL Server entities map to GoodData

Microsoft SQL Server entityGoodData objectNotes
tablesmssql_sql_server_tablesid PK · custom fields → flattened columns
rowsmssql_sql_server_rowsid PK · linked to mssql_sql_server_tables
schemasmssql_sql_server_schemasid PK · linked to mssql_sql_server_tables
indexesmssql_sql_server_indexesid PK · linked to mssql_sql_server_tables

FAQ

How does Datrise handle Microsoft SQL Server's custom fields in GoodData?

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

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

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

Early access

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