Google BigQuery to Microsoft SQL Server Integration
AI-first ETL from Google BigQuery into Microsoft SQL Server. Governed entities, incremental sync, typed landing tables.
How Datrise loads Google BigQuery into Microsoft SQL Server
Datrise syncs Google BigQuery's datasets, tables, views, query jobs, table schemas, and partitions into Microsoft SQL Server as a typed table per source entity. Flexible or custom fields land in NVARCHAR(MAX) JSON columns, and timestamps such as created, updated, and status changes are typed as datetime2.
Sync is incremental: Datrise uses a watermark on updated-at, applied with a MERGE statement, so re-runs update only what changed. Optional partitioned tables on a date partition function. SQL Server defaults to a case-insensitive collation, so Datrise preserves original casing in a metadata column to avoid silent key collisions.
Ideal for Microsoft-stack analytics and Power BI Import models.
Endpoints
Google BigQuery: Serverless analytics warehouse on Google Cloud.
Microsoft SQL Server: Microsoft relational DB with enterprise features.
How Google BigQuery entities map to Microsoft SQL Server
| Google BigQuery entity | Microsoft SQL Server object | Notes |
|---|---|---|
| datasets | bigquery_datasets | id PK · custom fields → NVARCHAR(MAX) JSON columns |
| tables | bigquery_tables | id PK · linked to bigquery_datasets |
| views | bigquery_views | id PK · linked to bigquery_datasets |
| query jobs | bigquery_query_jobs | id PK · linked to bigquery_datasets |
FAQ
How does Datrise handle Google BigQuery's custom fields in Microsoft SQL Server?
Flexible values are stored as NVARCHAR(MAX) JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Microsoft SQL Server types.
How does the Google BigQuery to Microsoft SQL Server sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with a MERGE statement.
Related pipelines
More destinations for Google BigQuery
- Google BigQuery → Oracle Database
- Google BigQuery → Snowflake
- Google BigQuery → Google BigQuery
- Google BigQuery → Amazon Redshift
- Google BigQuery → Databricks SQL Warehouse
- Google BigQuery → ClickHouse
- Google BigQuery → DuckDB
- Google BigQuery → Amazon Athena
- Google BigQuery → Amazon S3 Data Lake
- Google BigQuery → Azure Data Lake Storage
- Google BigQuery → Azure Synapse
- Google BigQuery → Spreadsheets
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Early access
Connect Google BigQuery to Microsoft SQL Server 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.