Braze to Microsoft SQL Server Integration

How Datrise loads Braze into Microsoft SQL Server

Datrise syncs Braze's users, campaigns, canvases, message events, segments, and custom attributes into Microsoft SQL Server 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 a watermark on updated-at, applied with a MERGE statement, so re-runs update only what changed. Optional partitioned tables on a date partition function. SQL Server defaults to a case-insensitive collation, so Datrise preserves original casing in a metadata column to avoid silent key collisions.

Ideal for Microsoft-stack analytics and Power BI Import models.

Endpoints

Braze: Cross-channel customer engagement platform.

Microsoft SQL Server: Microsoft relational DB with enterprise features.

How Braze entities map to Microsoft SQL Server

Braze entity	Microsoft SQL Server object	Notes
users	`braze_users`	id PK · custom fields → NVARCHAR(MAX) JSON columns
campaigns	`braze_campaigns`	id PK · linked to braze_users
canvases	`braze_canvases`	id PK · linked to braze_users
message events	`braze_message_events`	datetime2 events

FAQ

How does Datrise handle Braze's custom fields in Microsoft SQL Server?

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 Microsoft SQL Server types.

How does the Braze to Microsoft SQL Server sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with a MERGE statement.

Related pipelines

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