DatriseAI-first ETL

PipeRun to Spreadsheets Integration

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

How Datrise loads PipeRun into Spreadsheets

Datrise syncs PipeRun's deals, contacts, companies, pipeline stages, activities, and sales teams 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

PipeRun: Sales pipeline management for Brazilian revenue teams.

Spreadsheets: Business-friendly spreadsheet destination for collaborative analysis.

How PipeRun entities map to Spreadsheets

PipeRun entitySpreadsheets objectNotes
dealspiperun_dealsid PK · custom fields → JSON-stringified cells for nested fields
contactspiperun_contactsid PK · linked to piperun_deals
companiespiperun_companiesid PK · linked to piperun_deals
pipeline stagespiperun_pipeline_stagesid PK · linked to piperun_deals

FAQ

How does Datrise handle PipeRun'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 PipeRun to Spreadsheets sync stay up to date?

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

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Early access

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