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Sync data from GitHub to Microsoft SQL Server

CloudQuery is the simple, fast data integration platform that can fetch your data from GitHub APIs and load it into Microsoft SQL Server
GitHub
Microsoft SQL Server

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Step by step guide for how to export data from GitHub to Microsoft SQL Server

MacOSWindowsLinux
Table of Contents

MacOS Setup

Step 1: Install CloudQuery

To install CloudQuery, run the following command in your terminal:

brew install cloudquery/tap/cloudquery

Step 2: Create a Configuration File

Next, run the following command to initialize a sync configuration file for GitHub to Microsoft SQL Server:

cloudquery init --source=github --destination=mssql

This will generate a config file named github_to_mssql.yaml. Follow the instructions to fill out the necessary fields to authenticate against your own environment.

Step 3: Log in to CloudQuery CLI

Next, log in to the CloudQuery CLI. If you have't already, you can sign up for a free account as part of this step:

cloudquery login

Step 4: Run a Sync

cloudquery sync github_to_mssql.yaml

This will start syncing data from the GitHub API to your Microsoft SQL Server database! 🚀

See the CloudQuery documentation portal for more deployment guides, options and further tips.

FAQs

What is CloudQuery?
CloudQuery is an open-source tool that helps you extract, transform, and load cloud asset data from various sources into databases for security, compliance, and visibility.
Why does CloudQuery require login?
Logging in allows CloudQuery to authenticate your access to the CloudQuery Hub and monitor usage for billing purposes. Data synced with CloudQuery remains private to your environment and is not shared with our servers or any third parties.
What data does CloudQuery have access to?
CloudQuery accesses only the metadata and configurations of your cloud resources that you specify without touching sensitive data or workloads.
How is CloudQuery priced?
CloudQuery offers flexible pricing based on the number of cloud accounts and usage. Visit our pricing page for detailed plans.
Is there a free version of CloudQuery?
Yes, CloudQuery offers a free plan that includes basic features, perfect for smaller teams or personal use. More details can be found on our pricing page.
What authentication methods does the CloudQuery GitHub integration support?
The CloudQuery GitHub integration supports two authentication methods and the best option for your sync to Microsoft SQL Server will depend on your personal preferences and your organizational security policy.
What is the difference between personal access tokens and app authentication?
The main difference your choice of authentication method will make to your sync from GitHub to Microsoft SQL Server is the rate at which CloudQuery can read and sync data. Personal access tokens have a lower rate limit than app authentication - so if you need to move a particularly large amount of data quickly, we would recommend using app authentication.
Which tables can I sync from GitHub to Microsoft SQL Server?
A full list of supported tables is available in the tables tab on our integration information page.
Will archived repos be included in the sync from GitHub to Microsoft SQL Server?
Archived repos will only be synced if a specific request is made. To include archived repos in the sync, include_archived_repos must be set to true.
How can I protect my credentials when authenticating with Microsoft SQL Server?
For testing purposes, you can specify your username and password directly into the configuration file. However, we strongly recommend that you do not do this in a production environment as it could compromise the security of your credentials. In production, you should use environment variable substitution to keep your information secure.
What versions of MS SQL Server can I sync to from GitHub using CloudQuery?
The CloudQuery Microsoft SQL Server integration supports Microsoft SQL Server 2019 or later and Azure SQL Database version 2019 or later.

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