- Source
- Engineering Analytics
- Alpha
Move Jamf Pro data anywhere it matters.
Replicate Jamf Pro computers to the warehouse or AI app you use.
Source
Jamf Pro

Snowflake
BigQuery
Postgres
Databricks
Claude
- Stream
- 1
- Destinations
- 50+
- Standard support
- 0.0.52
Overview
What is the Airbyte Jamf Pro connector?
The Airbyte Jamf Pro connector extracts data from Jamf Pro and loads it into 50+ destinations such as Snowflake, BigQuery, Databricks or Postgres, with full refresh. It publishes 1 stream you can select per connection.
- 01
Sync to your warehouse
Land 1 Jamf Pro table in 50+ destinations on a schedule you control.
- 02
One authorization
Authenticate Jamf Pro once and Airbyte keeps every scheduled sync running on it.
- 03
Cloud or self-hosted
Run the Jamf Pro connector on Cloud, OSS, Hybrid.
1 stream
Every table you can sync from Jamf Pro
computers Primary key id Pagination DefaultPaginator Sync modes FullIncr.
Setup
Live in three steps
Get your Jamf Pro credentials from the vendor dashboard or developer settings.
Configure the source in Airbyte with the required connection fields.
Pick a destination, choose streams, set full refresh or incremental, and schedule syncs.
Configuration fields
| Field | Type | Description |
|---|---|---|
| subdomain* | string | The unique subdomain for your Jamf Pro instance. |
| username* | string | Not documented. |
| password | string | Not documented. |
Hybrid deployment
Sovereign by architecture, not by policy.
The data plane runs in your environment. Records, credentials and keys stay with you; the control plane only receives configuration and job metadata.
- Cloud
- OSS
- Hybrid
Your environment
Airbyte control plane
FAQ
Jamf Pro connector questions
What data can I sync from Jamf Pro with Airbyte?
1 stream: computers.
Does the Jamf Pro connector support incremental sync?
The Jamf Pro connector supports full refresh sync. Check the stream list on this page for incremental support per table.
Where can I run the Jamf Pro connector?
Run the Jamf Pro connector on Cloud, OSS, Hybrid. Hybrid deployments keep the data plane in your environment while the control plane orchestrates syncs.
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