Excel to Google BigQuery integration
Connect Excel to Google BigQuery and automatically sync your spreadsheet/file data. Weld extracts Worksheets, Rows, and Named Ranges from Excel, loads them into Google BigQuery, and lets you transform the data using SQL or dbt, no custom scripts required.
Your own tables, picked when you set up the sync.
- Extract
- Load
- Keep in sync
- excel.Synced
- excel.Syncing
- excel.Synced
- excel.Synced
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How to set up Excel to Google BigQuery in Weld.
In the app, with the API or an agent.
Why sync Excel to Google BigQuery?
Ready for analysis.
Centralizing your Excel data in Google BigQuery lets you join it with other data sources for cross-platform analytics and deeper insights.
Build reliable dashboards and reports by querying Excel data directly in Google BigQuery using SQL or your preferred BI tool.
Centralized data warehouse
Bring Excel data into Google BigQuery 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 Excel to Google BigQuery. Connect BI tools like Looker, Metabase, or Power BI.
What data can you sync?
From Excel to Google BigQuery.
Weld syncs the following data objects from Excel into Google BigQuery. The exact tables and fields depend on your Excel configuration and the permissions granted during setup.
- Worksheets
- Rows
- Named Ranges
Ask your agent.
It queries Google BigQuery for you.
Connect Claude, Cursor, ChatGPT or your own agent to Weld over MCP. It reads the Excel context, finds the tables it needs and runs the query in Google BigQuery.
Which Excel tables do we have in Google BigQuery, and which is the largest?
Looking up what Weld has synced from Excel.
Technical considerations.
What to expect.
ELT vs. reverse ETL: Excel and Google BigQuery
ELT (Extract, Load, Transform) moves data from Excel into Google BigQuery for analysis. This is the approach shown on this page, and the one to use for dashboards, reports, and data models.
Reverse ETL works the other direction: it pushes enriched data from Google BigQuery back into Excel. For example, you could sync computed lead scores or customer segments from your warehouse into Excel to personalize outreach.
Weld supports both directions, so you can build a complete data loop between Excel and Google BigQuery.
Google BigQuery to Excel- Incremental syncing
- Weld uses incremental syncing where supported by the Excel API, loading only new and updated records to minimize data transfer and warehouse costs.
- Schema handling
- Weld automatically manages schema changes. If Excel adds new fields, they're detected and added to the corresponding Google BigQuery 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.
Keep reading.
Guides, docs and schema.
Common questions.
About Excel to Google BigQuery.
Start syncing Excel to Google BigQuery.
Set up your Excel data pipeline in minutes. No credit card required. Free for 14 days.