DatriseAI-first ETL

Clickhouse MicroStrategy

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

How Datrise loads Clickhouse into MicroStrategy

Datrise syncs Clickhouse's records, events, and configuration objects 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

Clickhouse: SaaS or API data source for analytics and warehouse sync.

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

How Clickhouse entities map to MicroStrategy

Clickhouse entityMicroStrategy objectNotes
recordsclickhouse_recordsid PK · custom fields → flattened columns
eventsclickhouse_eventsdate/time dimensions events
configuration objectsclickhouse_configuration_objectsid PK · linked to clickhouse_records

FAQ

How does Datrise handle Clickhouse'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 Clickhouse to MicroStrategy sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the warehouse tables behind attributes and metrics.

Related pipelines

Early access

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