DatriseAI-first ETL

PostgreSQL to MicroStrategy Integration

AI-first ETL from PostgreSQL into MicroStrategy. Governed entities, incremental sync, typed landing tables.

How Datrise loads PostgreSQL into MicroStrategy

Datrise syncs PostgreSQL's tables, rows, schemas, indexes, sequences, and replication slots 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

PostgreSQL: Self-managed PostgreSQL instances.

MicroStrategy: Enterprise BI with dossiers, governed metrics, and mobility.

How PostgreSQL entities map to MicroStrategy

PostgreSQL entityMicroStrategy objectNotes
tableshp_postgres_tablesid PK · custom fields → flattened columns
rowshp_postgres_rowsid PK · linked to hp_postgres_tables
schemashp_postgres_schemasid PK · linked to hp_postgres_tables
indexeshp_postgres_indexesid PK · linked to hp_postgres_tables

FAQ

How does Datrise handle PostgreSQL'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 PostgreSQL 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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