Integrate Microsoft Azure SQL Database with Google Sheets
About Microsoft Azure SQL Database
Microsoft Azure SQL Database is a relational database service in the cloud based on the market-leading Microsoft SQL Server engine, with mission-critical capabilities.
SQL Database delivers predictable performance, scalability with no downtime, business continuity and data protection—all with near-zero administration.
You can focus on rapid app development and accelerating your time to market, rather than managing virtual machines and infrastructure.
Because it’s based on the SQL Server engine, SQL Database supports existing SQL Server tools, libraries and APIs, which makes it easier for you to move and extend to the cloud.
About Google Sheets
Google Sheets is an online spreadsheet app that lets users create and format spreadsheets while simultaneously working with other people. Businesses can use Google Sheets to maintain data consistency across departments and to ensure that every member of their team is on the same page.
Popular Use Cases
Bring all your Google Sheets data to Amazon Redshift
Load your Google Sheets data to Google BigQuery
ETL all your Google Sheets data to Snowflake
Move your Google Sheets data to MySQL
Integrate Microsoft Azure SQL Database With Google Sheets Today
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Google Sheets's End Points
Use developer metadata to keep track of a location or an object in a spreadsheet. This can help you maintain data organization and clarity, even as you scale or continue to add new rows of information.
Create new spreadsheets, look up existing spreadsheets via spreadsheet ID, or get data on portions of a spreadsheet using filters. These functions can help you understand and consolidate your data for big-picture business insights.
Maintain full control over the values on your spreadsheet and add, clear, append, or update values as necessary. Use this flexibility to keep your data up-to-date and useful at all times.
Use sheets to copy a single sheet from a spreadsheet to another spreadsheet. This can be especially useful when you’re integrating data from various sources or reorganizing your data structure for analytics.