Braze to MicroStrategy Integration
AI-first ETL from Braze into MicroStrategy. Governed entities, incremental sync, typed landing tables.
How Datrise loads Braze into MicroStrategy
Datrise syncs Braze's users, campaigns, canvases, message events, segments, and custom attributes into MicroStrategy as warehouse tables for MicroStrategy's schema objects. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.
Sync is incremental: Datrise uses incremental refresh of the warehouse tables behind attributes and metrics, so re-runs update only what changed. Date-partitioned facts. MicroStrategy maps attributes to columns, so Datrise lands stable keys and names so metrics don't break.
Ideal for large-scale enterprise reporting and governance.
Endpoints
Braze: Cross-channel customer engagement platform.
MicroStrategy: Enterprise BI with dossiers, governed metrics, and mobility.
How Braze entities map to MicroStrategy
| Braze entity | MicroStrategy object | Notes |
|---|---|---|
| users | braze_users | id PK · custom fields → flattened columns |
| campaigns | braze_campaigns | id PK · linked to braze_users |
| canvases | braze_canvases | id PK · linked to braze_users |
| message events | braze_message_events | date/time dimensions events |
FAQ
How does Datrise handle Braze's custom fields in MicroStrategy?
Flexible values are stored as flattened columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native MicroStrategy types.
How does the Braze to MicroStrategy sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the warehouse tables behind attributes and metrics.
Related pipelines
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