Google BigQuery to Microsoft SQL Server integration

Connect Google BigQuery to Microsoft SQL Server and automatically sync your cloud data warehouse data. Weld extracts data from Google BigQuery, loads it into Microsoft SQL Server, and lets you transform the data using SQL or dbt, no custom scripts required.

4.8 on G2
Google BigQuerySource
WeldWeld
Microsoft SQL ServerWarehouse
Weld · New sync
Google BigQuerySourceGoogle BigQueryConnected
Tables to sync
  • tldv_raw.meetings9 cols
  • tldv_raw.transcripts7 cols
  • sales.commissions6 cols
  • google_sheets.worksheet_sheet33 cols
  • Extract
  • Load
  • Keep in sync
Microsoft SQL ServerDestinationMicrosoft SQL ServerReady
bigquery schema
  • bigquery.tldv_raw.meetingsSynced
  • bigquery.tldv_raw.transcriptsSyncing
  • bigquery.sales.commissionsSynced
  • bigquery.google_sheets.worksheet_sheet3Synced
Google BigQuery tables
4
fields, typed
25
agent context included
MCP

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How it works

How to set up Google BigQuery to Microsoft SQL Server in Weld.
In the app, with the API or an agent.

Weld · Data warehouse
Microsoft SQL ServerData warehouseMicrosoft SQL ServerConnected
Data locationChosen when you connect
CredentialsService account or key, stored encrypted
Use cases

Why sync Google BigQuery to Microsoft SQL Server?
Ready for analysis.

Centralizing your Google BigQuery data in Microsoft SQL Server lets you join it with other data sources for cross-platform analytics and deeper insights.

Build reliable dashboards and reports by querying Google BigQuery data directly in Microsoft SQL Server using SQL or your preferred BI tool.

  • Centralized data warehouse

    Bring Google BigQuery data into Microsoft SQL Server alongside other sources to create a single source of truth for your organization.

  • Automated reporting

    Replace manual exports and spreadsheet-based reporting with automated pipelines from Google BigQuery to Microsoft SQL Server. Connect BI tools like Looker, Metabase, or Power BI.

Schema

What data can you sync?
Every Google BigQuery table, keys intact.

Weld syncs the objects the Google BigQuery connector exposes into Microsoft SQL Server, and you choose which tables and fields to include. The connector's docs list what is available.

Open the schema explorer
All 4 tables
  • tldv_raw.meetings
  • tldv_raw.transcripts
  • sales.commissions
  • google_sheets.worksheet_sheet3
Weld MCP server

Ask your agent.
It queries Microsoft SQL Server for you.

Connect Claude, Cursor, ChatGPT or your own agent to Weld over MCP. It reads the Google BigQuery context, finds the tables it needs and runs the query in Microsoft SQL Server.

Claude CodeOpus 5
>

How many tldv_raw.meetings rows do we have in Microsoft SQL Server?

Reading the Google BigQuery context first, so the query uses the right tables and keys.

●weld·search_available_references
⎿raw.bigquery.tldv_raw.meetings
+ 3 more Google BigQuery tables
●weld·get_reference_schema
⎿tldv_raw.meetings · 9 columns
columns and types
●weld·run_query
⎿select count(*) from {{raw.bigquery.tldv_raw.meetings}}
submitted
●weld·get_query_status
⎿DONE
●weld·get_query_result
⎿rows returned
✓Answered from Google BigQuery data in Microsoft SQL Server
>Ask about your Google BigQuery data
Under the hood

Technical considerations.
What to expect.

Incremental syncing
Weld uses incremental syncing where supported by the Google BigQuery API, loading only new and updated records to minimize data transfer and warehouse costs.
Schema handling
Weld automatically manages schema changes. If Google BigQuery adds new fields, they're detected and added to the corresponding Microsoft SQL Server tables.
Data freshness
Sync frequency depends on your Weld plan. Most connectors support schedules from every 5 minutes up to daily intervals.
Security
All data is encrypted in transit (TLS) and at rest. Weld is SOC 2 Type II compliant and supports IP whitelisting for database connections.
FAQ

Common questions.
About Google BigQuery to Microsoft SQL Server.

Start syncing Google BigQuery to Microsoft SQL Server.

Set up your Google BigQuery data pipeline in minutes. No credit card required. Free for 14 days.

Google BigQuerySource
WeldWeld
Microsoft SQL ServerWarehouse