Preserving Relations
Powerful mapping settings allow preserving relations between imported data.
Google Cloud SQL for MySQL and Azure File Storage Integration
100% cloud solution to automate CSV data loading between Google Cloud SQL for MySQL and Azure File Storage
Trusted by thousands of organizations around the globe
Simple GUI
Configure your import/export in convenient GUI wizards with no coding.
Flexible Scheduling
Use flexible scheduling settings to automate data export & import.
Detailed Logging
You can find detailed logs for each execution in the package Run History.
Import CSV from Azure File Storage to Google Cloud SQL for MySQL
Import CSV files from Azure File Storage to Google Cloud SQL for MySQL data with Skyvia. Powerful mapping features enable you to import data with the structure different from the structure of Google Cloud SQL for MySQL objects, use various string and numeric expressions for mapping, etc.
You can run import manually or automatically, on a schedule. For easier import automation, Skyvia supports getting a CSV file from Azure File Storage by a file mask, including a datestamp.
All DML Operations
Skyvia supports INSERT, UPDATE, DELETE, and UPSERT for import to Google Cloud SQL for MySQL.
Data Splitting
Skyvia can load data from one CSV file to several related Google Cloud SQL for MySQL objects at once.
Export Data from Google Cloud SQL for MySQL to Azure File Storage
Skyvia is a perfect tool to export Google Cloud SQL for MySQL data to Azure File Storage. Automate your data export operation and get rid of redundant manual work!
Compressing Output Files
Skyvia supports zip and gzip compression of result CSV files, allowing you to save storage space.
Powerful Filtering
Create filters with multiple conditions and logical operators to export exactly the data you need.
Related Data Export
Select fields to export from the main Google Cloud SQL for MySQL object and all of its related objects.
Integrate Google Cloud SQL for MySQL and Azure File Storage with minimal effort and in only a few clicks!