Sync data from GitHub to S3
CloudQuery is a simple, fast and extensible data movement platform that allows you to sync data from any source to any destination.
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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 S3 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 S3
CloudQuery is the simple, fast data integration platform that can fetch your data from GitHub APIs and load it into S3.
GitHub
Source
S3
Destination
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 s3 --spec-path
github_to_s3.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:
PS3 plugin configuration
You can find more information about the configuration in the plugin documentation.
# s3.yml
kind: destination
spec:
name: s3
path: cloudquery/s3
spec:
# per documentation at:
Step 3: Run the sync
Step 1. Copy and paste the command to trigger the sync
cloudquery sync github_to_s3.yaml
Frequently asked questions about plugins
Detailed answers are here to help you get started.
S3 FAQ
Can CloudQuery read from my credentials and config S3 files?
Can CloudQuery read from my credentials and config S3 files?
.aws
directory of your home folder. The two files are almost identical in format but if there is a conflict, CloudQuery will prioritise the credential information that it reads from the credentials
file over those found in config
.What formats can CloudQuery load from GitHub to an S3 destination?
What formats can CloudQuery load from GitHub to an S3 destination?
GitHub FAQ
What is the difference between personal access tokens and app authentication?
What is the difference between personal access tokens and app authentication?
Which tables can I sync from GitHub to S3?
Which tables can I sync from GitHub to S3?
Will archived repos be included in the sync from GitHub to S3?
Will archived repos be included in the sync from GitHub to S3?
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 S3 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
S3 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.