Pivotal Tracker to Looker Integration
AI-first ETL from Pivotal Tracker into Looker. Governed entities, incremental sync, typed landing tables.
How Datrise loads Pivotal Tracker into Looker
Datrise syncs Pivotal Tracker's stories, projects, iterations, epics, tasks, and story transitions into Looker as governed warehouse tables with LookML-ready naming. Flexible or custom fields land in flattened columns (nested fields expanded for modeling), and timestamps such as created, updated, and status changes are typed as date/time dimension columns.
Sync is incremental: Datrise uses incremental refresh of the underlying warehouse tables Looker explores, so re-runs update only what changed. Date-partitioned fact tables for PDT performance. Looker models live in LookML on top of SQL, so Datrise lands clean, stable column names rather than churn that would break your views.
Ideal for governed, version-controlled BI on a warehouse.
Endpoints
Pivotal Tracker: Agile story tracking and iteration planning.
Looker: Google Cloud BI with LookML semantic models and governed dashboards.
How Pivotal Tracker entities map to Looker
| Pivotal Tracker entity | Looker object | Notes |
|---|---|---|
| stories | pivotal_tracker_stories | id PK · custom fields → flattened columns (nested fields expanded for modeling) |
| projects | pivotal_tracker_projects | id PK · linked to pivotal_tracker_stories |
| iterations | pivotal_tracker_iterations | id PK · linked to pivotal_tracker_stories |
| epics | pivotal_tracker_epics | id PK · linked to pivotal_tracker_stories |
FAQ
How does Datrise handle Pivotal Tracker's custom fields in Looker?
Flexible values are stored as flattened columns (nested fields expanded for modeling), so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Looker types.
How does the Pivotal Tracker to Looker sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the underlying warehouse tables Looker explores.
Related pipelines
More destinations for Pivotal Tracker
- Pivotal Tracker → Looker Studio
- Pivotal Tracker → Microsoft Power BI
- Pivotal Tracker → Tableau
- Pivotal Tracker → Apache Superset
- Pivotal Tracker → Metabase
- Pivotal Tracker → Amazon QuickSight
- Pivotal Tracker → Domo
- Pivotal Tracker → Sisense
- Pivotal Tracker → ThoughtSpot
- Pivotal Tracker → Qlik
- Pivotal Tracker → Mode
- Pivotal Tracker → Redash
Early access
Connect Pivotal Tracker to Looker the easy way
Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.