Bloomerang to Chartio Integration

How Datrise loads Bloomerang into Chartio

Datrise syncs Bloomerang's constituents, donations, campaigns, pledges, interactions, and engagement scores into Chartio as SQL tables a visual-SQL explorer connects to. Flexible or custom fields land in flattened columns for visual SQL, and timestamps such as created, updated, and status changes are typed as temporal columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. Visual-SQL tools build joins from your schema, so Datrise lands clearly related tables with stable id columns.

Ideal for drag-and-drop charting over a database.

Endpoints

Bloomerang: Donor database built around retention and engagement scoring.

Chartio: Cloud BI for exploring warehouse data with drag-and-drop charts.

How Bloomerang entities map to Chartio

Bloomerang entity	Chartio object	Notes
constituents	`bloomerang_constituents`	id PK · custom fields → flattened columns for visual SQL
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 Chartio?

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

How does the Bloomerang to Chartio sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

Early access

Connect Bloomerang to Chartio the easy way

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