DatriseAI-first ETL

Pivotal Tracker to Holistics Integration

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

How Datrise loads Pivotal Tracker into Holistics

Datrise syncs Pivotal Tracker's stories, projects, iterations, epics, tasks, and story transitions 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

Pivotal Tracker: Agile story tracking and iteration planning.

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

How Pivotal Tracker entities map to Holistics

Pivotal Tracker entityHolistics objectNotes
storiespivotal_tracker_storiesid PK · custom fields → flattened columns for the modeling layer
projectspivotal_tracker_projectsid PK · linked to pivotal_tracker_stories
iterationspivotal_tracker_iterationsid PK · linked to pivotal_tracker_stories
epicspivotal_tracker_epicsid PK · linked to pivotal_tracker_stories

FAQ

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

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

Related pipelines

Early access

Connect Pivotal Tracker to Holistics the easy way

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