Bloomerang to Domo Integration

How Datrise loads Bloomerang into Domo

Datrise syncs Bloomerang's constituents, donations, campaigns, pledges, interactions, and engagement scores 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

Bloomerang: Donor database built around retention and engagement scoring.

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

How Bloomerang entities map to Domo

Bloomerang entity	Domo object	Notes
constituents	`bloomerang_constituents`	id PK · custom fields → flattened columns for Magic ETL
donations	`bloomerang_donations`	id PK · linked to bloomerang_constituents
campaigns	`bloomerang_campaigns`	id PK · linked to bloomerang_constituents
pledges	`bloomerang_pledges`	id PK · linked to bloomerang_constituents

FAQ

How does Datrise handle Bloomerang'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 Bloomerang 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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