DatriseAI-first ETL

Google Directory to Domo Integration

AI-first ETL from Google Directory into Domo. Governed entities, incremental sync, typed landing tables.

How Datrise loads Google Directory into Domo

Datrise syncs Google Directory's users, groups, group members, organizational units, devices, and roles into Domo as datasets in Domo's cloud store via connector. Flexible or custom fields land in flattened columns for Magic ETL, and timestamps such as created, updated, and status changes are typed as date/time columns.

Sync is incremental: Datrise uses partitioned dataset updates rather than full replaces, so re-runs update only what changed. Domo dataset partitions keyed on load date. Domo stores its own copy of data, so Datrise sends incremental partitions to avoid re-uploading whole datasets.

Ideal for all-in-one cloud BI with built-in ETL.

Endpoints

Google Directory: Workspace user, group, and device directory.

Domo: Cloud BI platform combining data integration and executive dashboards.

How Google Directory entities map to Domo

Google Directory entityDomo objectNotes
usersgoogle_directory_usersid PK · custom fields → flattened columns for Magic ETL
groupsgoogle_directory_groupsid PK · linked to google_directory_users
group membersgoogle_directory_group_membersid PK · linked to google_directory_users
organizational unitsgoogle_directory_organizational_unitsid PK · linked to google_directory_users

FAQ

How does Datrise handle Google Directory's custom fields in Domo?

Flexible values are stored as flattened columns for Magic ETL, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Domo types.

How does the Google Directory to Domo sync stay up to date?

It runs incrementally — Datrise uses partitioned dataset updates rather than full replaces.

Related pipelines

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