Sync data from GitHub to Databricks

CloudQuery is a simple, fast and extensible data movement platform that allows you to sync data from any source to any destination.

Plugin documentationSync in CloudQuery Cloud
github
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Why CloudQuery?

We took care of everything, so you can do your job easily and efficiently.

Fast and reliable

CloudQuery’s efficient design means our syncs are fast and a sync from GitHub to Databricks can be completed in a fraction of the time compared to other tools.

Easy to get started, easy to maintain

GitHub syncing using CloudQuery is easy to set up and maintain thanks to its simple YAML configuration. Once synced, you can use normal SQL queries to work with your data.

How to sync GitHub data to Databricks

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

GitHub

GitHub

Source

Documentation
Databricks

Databricks

Destination

Documentation

Step 1: Install CloudQuery

Follow the steps below to start syncing data with CloudQuery.

Your operating system
Installation method

Copy&paste the following command to download

brew install cloudquery/tap/cloudquery

Sign in with CloudQuery

To sign in from the CLI, run the following command.

cloudquery login

A new browser window will open where you will complete the sign-in process.

Auto-generate sync configuration

Run the following command to create a configuration file:

cloudquery init --source github --destination databricks --spec-path github_to_databricks.yaml

Step 2: Additional source and destination configuration (optional)

GitHub source plugin configuration

You can find more information about the configuration in the plugin documentation.

# github.yml kind: source spec: name: github path: cloudquery/github spec: # per documentation at:

PDatabricks plugin configuration

You can find more information about the configuration in the plugin documentation.

# databricks.yml kind: destination spec: name: databricks path: cloudquery/databricks spec: # per documentation at:

Step 3: Run the sync

Step 1. Copy and paste the command to trigger the sync

cloudquery sync github_to_databricks.yaml

Frequently asked questions about plugins

Detailed answers are here to help you get started.

Databricks FAQ

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.

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.

CloudQuery accesses only the metadata and configurations of your cloud resources that you specify without touching sensitive data or workloads.

CloudQuery offers flexible pricing based on the number of cloud accounts and usage. Visit our pricing page for detailed plans.

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.

GitHub FAQ

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 Databricks will depend on your personal preferences and your organizational security policy.

The main difference your choice of authentication method will make to your sync from GitHub to Databricks 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.

A full list of supported tables is available in the tables tab on our integration information page.

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.
Fast and reliable

CloudQuery’s efficient design means our syncs are fast and a sync from GitHub to Databricks can be completed in a fraction of the time compared to other tools.

Easy to use, easy to maintain

GitHub syncing using CloudQuery is easy to set up and maintain thanks to its simple YAML configuration. Once synced, you can use normal SQL queries to work with your data.

A huge library of supported destinations

Databricks isn’t the only place we can sync your GitHub data to. Whatever you need to do with your GitHub data, CloudQuery can make it happen. We support a huge range of destinations, customizable transformations for ETL, and we regularly release new plugins.

Extensible and Open Source SDK

Write your own connectors in any language by utilizing the CloudQuery open source SDK powered by Apache Arrow. Get out-of-the-box scheduling, rate-limiting, transformation, documentation and much more.

Turn cloud chaos into clarity

Find out how CloudQuery can help you get clarity from a chaotic cloud environment with a personalized conversation and demo.

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