DatriseAI-first ETL

Marketo Holistics

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

How Datrise loads Marketo into Holistics

Datrise syncs Marketo'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

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

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

How Marketo entities map to Holistics

Marketo entityHolistics objectNotes
recordsmarketo_recordsid PK · custom fields → flattened columns for the modeling layer
eventsmarketo_eventsdate/time dimensions events
configuration objectsmarketo_configuration_objectsid PK · linked to marketo_records

FAQ

How does Datrise handle Marketo'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 Marketo to Holistics sync stay up to date?

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

Related pipelines

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