DatriseAI-first ETL

Pivotal Tracker Spreadsheets

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

How Datrise loads Pivotal Tracker into Spreadsheets

Datrise syncs Pivotal Tracker's records, events, and configuration objects into Spreadsheets as a tab per source entity. Flexible or custom fields land in JSON-stringified cells for nested fields, and timestamps such as created, updated, and status changes are typed as ISO-8601 text or serial date cells.

Sync is incremental: Datrise uses refreshes the tab's rows each run, preserving header order, so re-runs update only what changed. Sheets caps out around the low millions of cells, so Datrise lands a curated column set rather than every raw field.

Ideal for lightweight, shareable reporting for non-technical teams.

Endpoints

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

Spreadsheets: Business-friendly spreadsheet destination for collaborative analysis.

How Pivotal Tracker entities map to Spreadsheets

Pivotal Tracker entitySpreadsheets objectNotes
recordspivotal_tracker_recordsid PK · custom fields → JSON-stringified cells for nested fields
eventspivotal_tracker_eventsISO-8601 text or serial date cells events
configuration objectspivotal_tracker_configuration_objectsid PK · linked to pivotal_tracker_records

FAQ

How does Datrise handle Pivotal Tracker's custom fields in Spreadsheets?

Flexible values are stored as JSON-stringified cells for nested fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Spreadsheets types.

How does the Pivotal Tracker to Spreadsheets sync stay up to date?

It runs incrementally — Datrise uses refreshes the tab's rows each run, preserving header order.

Related pipelines

Early access

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