DatriseAI-first ETL

Workable Holistics

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

How Datrise loads Workable into Holistics

Datrise syncs Workable'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

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

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

How Workable entities map to Holistics

Workable entityHolistics objectNotes
recordsworkable_recordsid PK · custom fields → flattened columns for the modeling layer
eventsworkable_eventsdate/time dimensions events
configuration objectsworkable_configuration_objectsid PK · linked to workable_records

FAQ

How does Datrise handle Workable'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 Workable 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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