DatriseAI-first ETL

Bloomerang to Azure Synapse Integration

AI-first ETL from Bloomerang into Azure Synapse. Governed entities, incremental sync, typed landing tables.

How Datrise loads Bloomerang into Azure Synapse

Datrise syncs Bloomerang's constituents, donations, campaigns, pledges, interactions, and engagement scores into Azure Synapse as a typed table per source entity. Flexible or custom fields land in NVARCHAR(MAX) JSON columns, and timestamps such as created, updated, and status changes are typed as datetime2.

Sync is incremental: Datrise uses COPY into staging, then a MERGE on stable id, so re-runs update only what changed. Hash distribution on the join id with date partitioning on facts. Synapse dedicated pools reward good hash-distribution choices, so Datrise distributes on entity ids to avoid data-movement-heavy joins.

Ideal for Azure analytics estates feeding Power BI.

Endpoints

Bloomerang: Donor database built around retention and engagement scoring.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Bloomerang entities map to Azure Synapse

Bloomerang entityAzure Synapse objectNotes
constituentsbloomerang_constituentsid PK · custom fields → NVARCHAR(MAX) JSON columns
donationsbloomerang_donationsid PK · linked to bloomerang_constituents
campaignsbloomerang_campaignsid PK · linked to bloomerang_constituents
pledgesbloomerang_pledgesid PK · linked to bloomerang_constituents

FAQ

How does Datrise handle Bloomerang's custom fields in Azure Synapse?

Flexible values are stored as NVARCHAR(MAX) JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Azure Synapse types.

How does the Bloomerang to Azure Synapse sync stay up to date?

It runs incrementally — Datrise uses COPY into staging, then a MERGE on stable id.

Related pipelines

Early access

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