PipeRun to Yellowfin Integration
AI-first ETL from PipeRun into Yellowfin. Governed entities, incremental sync, typed landing tables.
How Datrise loads PipeRun into Yellowfin
Datrise syncs PipeRun's deals, contacts, companies, pipeline stages, activities, and sales teams into Yellowfin as warehouse tables Yellowfin builds views on. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. Yellowfin views reference columns by name, so Datrise lands stable, well-typed columns to keep reports valid.
Ideal for dashboards with automated data storytelling.
Endpoints
PipeRun: Sales pipeline management for Brazilian revenue teams.
Yellowfin: BI suite with dashboards, automated insights, and data storytelling.
How PipeRun entities map to Yellowfin
| PipeRun entity | Yellowfin object | Notes |
|---|---|---|
| deals | piperun_deals | id PK · custom fields → flattened columns |
| contacts | piperun_contacts | id PK · linked to piperun_deals |
| companies | piperun_companies | id PK · linked to piperun_deals |
| pipeline stages | piperun_pipeline_stages | id PK · linked to piperun_deals |
FAQ
How does Datrise handle PipeRun's custom fields in Yellowfin?
Flexible values are stored as flattened columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Yellowfin types.
How does the PipeRun to Yellowfin sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for PipeRun
Early access
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