DatriseAI-first ETL

Mambu Holistics

AI-first ETL from Mambu into Holistics. Governed entities, incremental sync, typed landing tables.

How Datrise loads Mambu into Holistics

Datrise syncs Mambu's records, events, and configuration objects into Holistics as warehouse tables modeled in Holistics. Flexible or custom fields land in flattened columns for the modeling layer, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the modeled tables, so re-runs update only what changed. Date-partitioned facts for fast aggregates. Holistics models data as code on top of SQL, so Datrise lands stable column names to keep your models from drifting.

Ideal for as-code BI modeling on a warehouse.

Endpoints

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

Holistics: Self-service BI with modeling layers and scheduled report delivery.

How Mambu entities map to Holistics

Mambu entityHolistics objectNotes
recordsmambu_recordsid PK · custom fields → flattened columns for the modeling layer
eventsmambu_eventsdate/time dimensions events
configuration objectsmambu_configuration_objectsid PK · linked to mambu_records

FAQ

How does Datrise handle Mambu's custom fields in Holistics?

Flexible values are stored as flattened columns for the modeling layer, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Holistics types.

How does the Mambu to Holistics sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the modeled tables.

Related pipelines

Early access

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