Dremio to MicroStrategy Integration
AI-first ETL from Dremio into MicroStrategy. Governed entities, incremental sync, typed landing tables.
How Datrise loads Dremio into MicroStrategy
Datrise syncs Dremio's datasets, tables, reflections, query jobs, sources, and table schemas 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
Dremio: Lakehouse query engine over open table formats.
MicroStrategy: Enterprise BI with dossiers, governed metrics, and mobility.
How Dremio entities map to MicroStrategy
| Dremio entity | MicroStrategy object | Notes |
|---|---|---|
| datasets | dremio_datasets | id PK · custom fields → flattened columns |
| tables | dremio_tables | id PK · linked to dremio_datasets |
| reflections | dremio_reflections | id PK · linked to dremio_datasets |
| query jobs | dremio_query_jobs | id PK · linked to dremio_datasets |
FAQ
How does Datrise handle Dremio'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 Dremio to MicroStrategy sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the warehouse tables behind attributes and metrics.
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Early access
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