Home > Destinations > Azure SQL > Google Sheets

Connect Google Sheets to Azure SQL

Connect Google Sheets to Azure SQL and export selected accounts, metrics, and dimensions to your Azure SQL project.

Configure the historical window, destination table, and recurring schedule without maintaining a Google Sheets API pipeline.

Connect Google Sheets to Azure SQL

Used by the world's leading companies

Export Google Sheets data to Azure SQL

Catchr handles extraction, normalization, and loading automatically.

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Google Sheets metrics and dimensions available in Azure SQL

Access 0 metrics and 20 dimensions from Google Sheets connectors including , more.

0

Metrics availables

20

Dimensions availables

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Connect Google Sheets to Azure SQL in minutes

Move your data from Google Sheets to Azure SQL with a simple setup. Once connected, Catchr handles the ingestion automatically so your warehouse stays up to date without manual work.

Step one

Connect your Google Sheets account

Authenticate your Google Sheets account securely in Catchr. No custom scripts, API maintenance, or engineering work required.

Connect now
Client A · Connected sources
5 sources ready
Google Sheets 3 advertising accounts Connected
Google Ads 2 advertising accounts Connected
Google Analytics 4 1 web property Connected
HubSpot 1 CRM portal Connected
Step two

Choose the AzureSQL destination

Enter the Azure SQL server host, database, and login details. Catchr verifies the destination before any marketing data is exported.

Destination / Azure SQL Required fields
Host Required
catchr-reporting.database.windows.net
Username Required
catchr_loader
Password Required
••••••••••••
Database Required
marketing_reporting
Step three

Keep your AzureSQL tables updated

Choose the fields, initial history, partition field, and recurring schedule for the job. Catchr refreshes the configured import window in your AzureSQL table.

Export job / Azure SQL Example
Schema Destination
dbo
Table Per job
meta_ads_daily
Recurring schedule Choose a cadence
Every 6 hours
Daily · 06:00
Weekly · Mon
Export readySelected fields · configured history
Every 6 hours
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Connect more table to your Google Sheets data

Open the dedicated route for each platform. Its field catalog, reporting grain, historical constraints, and warehouse use cases should be specific to that source.

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Before you schedule the job.

Answers about AzureSQL setup, available source data, schedules, table updates, and SQL use cases.

Does my Azure SQL database need to exist before I connect it?

Yes. Connect an existing Azure SQL  database first. The Catchr job creates and populates the destination table you configure inside that database.

Can I load several marketing sources into the same Azure SQL  database?

Yes. Create a separate datastream and job for each source, write each export to its own table, then combine the data downstream with SQL, views, or your BI tool.

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