Firebolt to MicroStrategy Integration
AI-first ETL from Firebolt into MicroStrategy. Governed entities, incremental sync, typed landing tables.
How Datrise loads Firebolt into MicroStrategy
Datrise syncs Firebolt's databases, tables, aggregating indexes, query jobs, table schemas, and partitions 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
Firebolt: Cloud data warehouse tuned for fast analytics.
MicroStrategy: Enterprise BI with dossiers, governed metrics, and mobility.
How Firebolt entities map to MicroStrategy
| Firebolt entity | MicroStrategy object | Notes |
|---|---|---|
| databases | firebolt_databases | id PK · custom fields → flattened columns |
| tables | firebolt_tables | id PK · linked to firebolt_databases |
| aggregating indexes | firebolt_aggregating_indexes | id PK · linked to firebolt_databases |
| query jobs | firebolt_query_jobs | id PK · linked to firebolt_databases |
FAQ
How does Datrise handle Firebolt'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 Firebolt 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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