Sync data from Jamf to PostgreSQL

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

Plugin documentation
jamf
Destinations

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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 Jamf to PostgreSQL can be completed in a fraction of the time compared to other tools.

Easy to get started, easy to maintain

Jamf 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 Jamf data to PostgreSQL

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

Jamf

Jamf

Source

Documentation
PostgreSQL

PostgreSQL

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 jamf --destination postgresql --spec-path jamf_to_postgresql.yaml

Step 2: Additional source and destination configuration (optional)

Jamf source plugin configuration

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

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

PPostgreSQL plugin configuration

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

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

Step 3: Run the sync

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

cloudquery sync jamf_to_postgresql.yaml

Frequently asked questions about plugins

Detailed answers are here to help you get started.

PostgreSQL FAQ

Which database versions are supported?

The CloudQuery PostgreSQL integration supports syncing to PostgreSQL version 10 or higher and CockroachDB version 20.2 or higher.

Sync duration depends on several factors, but there are a number of CloudQuery features that ensure that syncs are as fast as possible. CloudQuery syncs data from Jamf to PostgreSQL in a streaming fashion using Apache Arrow. This means that as soon as it receives data from Jamf it delivers it to the PostgreSQL integration. This means that data is delivered as the sync progresses rather than only at the end.

Yes, you can configure multiple destination blocks for different PostgreSQL instances or databases.

Use indexing, partitioning, and batch inserts to manage large datasets effectively and minimize performance impacts.

Check CloudQuery logs for detailed error messages, validate connectivity settings, and monitor database performance using PostgreSQL’s built-in tools.

Jamf 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.
Fast and reliable

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

Easy to use, easy to maintain

Jamf 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

PostgreSQL isn’t the only place we can sync your Jamf data to. Whatever you need to do with your Jamf 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.

Request a demoDownload CLI
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