Redshift to MicroStrategy Integration
AI-first ETL from Redshift into MicroStrategy. Governed entities, incremental sync, typed landing tables.
How Datrise loads Redshift into MicroStrategy
Datrise syncs Redshift's tables, rows, schemas, sort keys, distribution keys, and query history 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
Redshift: Columnar cloud data warehouse on AWS.
MicroStrategy: Enterprise BI with dossiers, governed metrics, and mobility.
How Redshift entities map to MicroStrategy
| Redshift entity | MicroStrategy object | Notes |
|---|---|---|
| tables | redshift_tables | id PK · custom fields → flattened columns |
| rows | redshift_rows | id PK · linked to redshift_tables |
| schemas | redshift_schemas | id PK · linked to redshift_tables |
| sort keys | redshift_sort_keys | id PK · linked to redshift_tables |
FAQ
How does Datrise handle Redshift'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 Redshift 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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