Easy to use
No-coding visual configuration allows both IT professionals and business users use Skyvia to integrate their data.
GitHub and Google Cloud SQL for SQL Server Integration
Skyvia is a no-code cloud data integration platform for connecting GitHub and Google Cloud SQL for SQL Server data in a convenient and easy way.
Trusted by thousands of organizations around the globe
Connect GitHub to Google Cloud SQL for SQL Server in 3 Steps
Step 1
Create connections to GitHub and Google Cloud SQL for SQL Server from your Skyvia account. Sign up for free if don't have an account yet.
Step 2
Skyvia offers both scenario-specific tools for integrating two data sources and visual designers for building complex data pipelines and automations involving multiple connectors.
Step 3
Integration is configured in convenient wizards and designers, without coding. Depending on the product you choose, your integration can be trigger-based or run on schedule.
Skyvia allows you to view all the integration runs for any period, provides detailed per-record error logs in case of errors, and offers email notifications to help you be aware of the situation.
Connect GitHub to Google Cloud SQL for SQL Server in 3 Steps
Step 1
Create connections to GitHub and Google Cloud SQL for SQL Server from your Skyvia account. Sign up for free if don't have an account yet.
Step 2
Skyvia offers both scenario-specific tools for integrating two data sources and visual designers for building complex data pipelines and automations involving multiple connectors.
Step 3
Integration is configured in convenient wizards and designers, without coding. Depending on the product you choose, your integration can be trigger-based or run on schedule.
Skyvia allows you to view all the integration runs for any period, provides detailed per-record error logs in case of errors, and offers email notifications to help you be aware of the situation.
Data Sync in Any Direction
Skyvia Import allows you to create ETL pipelines to automate data loading in any direction. It supports both ETL scenarios — loading data from GitHub to Google Cloud SQL for SQL Server, and reverse ETL from Google Cloud SQL for SQL Server to GitHub tables such as entities. For extracting data, Import has simple mode that queries data from a single object/table and advanced mode extracting data via SQL or visually built queries. It supports powerful pre-load data transformations, including data splitting, lookups, relation mapping, and custom expression language including various string, mathematical, datetime functions, etc. All ETL scenarios can be scheduled for automatic execution.
Skyvia can both load all the legacy data using bulk operations and only new and updated data. It supports all DML operation, including the UPSERT operation that allows you to load data without creating duplicates. Ability to load only new and updated data together with the UPSERT operation support makes Skyvia Import a perfect tool for data synchronization.
Bidirectional Synchronization
Import allows you to sync data in any directions, so you can configure two import integrations to load data from GitHub to Google Cloud SQL for SQL Server, and from Google Cloud SQL for SQL Server to GitHub respectfully. However, Skyvia also provides a dedicated tool to sync GitHub and Google Cloud SQL for SQL Server in both directions. Synchronization supports all the advanced mapping features of Import — lookups, expressions, etc., and it is best suited for cases when one of the data sources is empty. If the data sources are already partially synced, use Import.
Initial synchronization run loads all the data. Subsequent synchronizations load only changed data and apply the necessary changes from source to target and vice versa, reducing the number of billable records. So it's up to you whether to choose Import or Sync for your data synchronization tasks.
GitHub Data Replication to Google Cloud SQL for SQL Server
Replicate GitHub entities to Google Cloud SQL for SQL Server and keep it up-to-date automatically! Combine raw data from GitHub and other cloud app connectors in your Google Cloud SQL for SQL Server database and turn Google Cloud SQL for SQL Server into a single source of truth.
Data Replication is an easy-to-use ELT tool that helps you configure data ingestion from GitHub in Google Cloud SQL for SQL Server in just a few clicks. Skyvia automatically creates tables for your cloud data. All you need is to specify the connections to GitHub and Google Cloud SQL for SQL Server and select data to replicate, and Skyvia does the rest. It will import GitHub data to Google Cloud SQL for SQL Server and maintain this copy up-to-date automatically with incremental updates. Configure data pipelines once, and you'll always have fresh cloud data in Google Cloud SQL for SQL Server, to which you can connect your BI tools, analyze your data, and do reporting.
Advanced Data Pipelines
For even more advanced scenarios and ETL pipelines, you can use Data Flow and Control Flow tools. They are designer-based solutions for creating complex data pipelines, involving not only GitHub and Google Cloud SQL for SQL Server connectors, but any number of connectors in one integration. With these tools you can automate data workflows, involving custom logic, complex multistage transformations, combine data from different sources and load them into multiple destinations at once and many more.
Workflow Automation
Automate workflows between GitHub and Google Cloud SQL for SQL Server with Skyvia Automation. Automation is a designer-based solution that allows you to perform actions in data sources when the specified trigger event happen. The trigger event can be a new record in a data source, a manual run, or a scheduled event.
Automation supports advanced data mapping. It allows you to include not only GitHub and Google Cloud SQL for SQL Server, but any number of data sources. You can perform actions in multiple data sources on one trigger or enrich data from other sources on the way.
Not only Automation allows you to automate your data-related tasks without coding, it provides such development tools as version control and debug mode. These tools surely help designing automations with no effort. Besides, there is a library of predefined examples that can help you to get started.
Why Customers Choose Skyvia
A data platform with a wide choice of tools and flexible pricing that has a solution for nearly any data integration scenario.
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Flexible Pricing
Skyvia pricing depends on the features you need and data volumes you load. Companies of any size can find a suitable plan.
Skyvia is Top Ranked by Our Customers
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Gartner Peer Insights
96% customers are willing to recommend Skyvia
4.9/5
g2Crowd
G2 recognized Skyvia as an ETL tools Leader of Winter 2025
4.8/5
Capterra
Featured in Best Ease of Use Integration Software
4.8/5
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9.5/10
Ready to get started?
Integrate GitHub and Google Cloud SQL for SQL Server data with minimal effort with Skyvia.
FAQs
Skyvia allows scheduling integrations up to once per minute. It offers advanced scheduling settings, allowing you to run integrations on specific weekdays, within a specific timeframe, etc. You can create almost any kind of schedule you need.
Data integration can make your organization more efficient. It improves data integrity and quality, allows better collaboration and allows making better business decisions.
Skyvia offers data pipeline designer tools like Data Flow and Control Flow that allows including more than two data sources at once. In addition to GitHub and Google Cloud SQL for SQL Server, Skyvia supports over 180 connectors.
Skyvia has a free pricing plan with basic features for all its products. Free Data Integration plan includes 10 000 records per month for import and export tools.