Data Manager Clients Release History

This page provides a comprehensive record of all Data Manager Clients releases, including key features, improvements, and important notices for each version. The latest release is listed at the top, with earlier versions and a summary of changes prior to version 1.2.0 included at the bottom.


Version 2.0.0

Release date:

Key changes:

  • Added manager enrichment for Intune devices, allowing device data to include the primary user's manager details (“ManagerId”, “ManagerDisplayName”, “ManagerPrincipalName”) via Microsoft Graph API.

  • Improved file upload reliability and performance.

  • Important: This release introduces breaking changes. Upgrade is strongly recommended.

Details:

  • Manager fields require Microsoft Graph app permission (User.Read.All) and an assigned manager.

  • If requirements are not met, manager fields remain empty but the InTune job completes successfully.


Version 1.2.5

Release date: 9 Oct 2025

Key changes:

  • Minor improvements to Microsoft Entra ID Users and Devices adapters, addressing issues with additional fields.

  • Jamf adapter: Added the Username field.

Details:

  • Entra ID Users: Now gathers “Department”, “CompanyName”, “EmployeeId”, “Manager ID”, and address details.

  • Entra ID Devices: Now gathers management restriction status, security identifiers, system labels, extension attributes, alternative security IDs, and physical device identifiers.

  • Jamf: Added “Username” field.


Version 1.2.4

Release date:

Key changes:

  • Support for multivalue attribute import in Schema Adapter.

Details:

  • Schema Adapter: Now imports multi-value attributes as comma-separated lists (max 512 characters, truncated with “…” if exceeded).


Version 1.2.3

Release date:

Key changes:

  • Data Source Aggregator adapter: No longer fails on empty jobs; displays a warning and completes successfully.

  • JAMF Adapter: Now supports OAuth and Basic authentication.

  • Released RISC Networks and Puppet Adapters.


Version 1.2.2

Release date:

Key changes:

  • Bugfixes for AzureVM, Entra ID Device, and Intune Adapters.

Details:

  • AzureVM Adapter: Fixed bug limiting imports to 50 records.

  • Entra ID Device and Intune Adapters: Fixed failures when API Limit was set to 1 or 2.

Note: From this release, we moved to a monthly release cycle (where changes are available).


Version 1.2.1

Release date:

Key changes:

  • Schema Adapter: Now returns results in chunks of up to 1000 records per page (pagination limit).

Details:

  • This change only affects the Schema Adapter. All records can be retrieved, but each page is limited to 1000 records.


Version 1.2.0

Release date:

Key changes:

  • Introduced versioning for Data Manager Clients, aligning with Atlassian Marketplace standards.

  • Documentation released for previously implemented changes.

Details:

  • Applies to both the Adapters Client and the Cleanse and Import Client.

  • Data Manager Clients are available for a wide variety of operating systems and architectures.

  • See Atlassian Community for more information.


Summary of changes prior to version 1.2.0

The following summarizes key updates and improvements made before version 1.2.0:

  • Data Manager Clients are middleware components required to connect, cleanse, and import data using the command line.

  • Versioning changed from a four-part to a three-part number to align with Marketplace standards.

  • Improvements and bug fixes across multiple adapters:

    • Adapters Client: Improved ASCII art visibility, error messaging, logging, proxy checks, timeout for large uploads, and warning messages.

    • FlatFile Adapter: Improved handling of NULL values.

    • Qualys Adapter: Fixed bug handling NULL values in API responses.

    • Intune Adapter: Corrected command-line error message typo.

    • Azure Adapter: Resolved bug for NULL values in API responses.

    • Entra ID User Adapter: Enhanced pagination.

    • Crowdstrike Adapter: Improved pagination and bug fixes.

    • Dynatrace Adapter: Enhanced pagination and data handling.

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