DatriseAI-first ETL

PipeRun to Metabase Integration

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

How Datrise loads PipeRun into Metabase

Datrise syncs PipeRun's deals, contacts, companies, pipeline stages, activities, and sales teams into Metabase as clean SQL tables Metabase auto-discovers. Flexible or custom fields land in flattened columns for the question builder, and timestamps such as created, updated, and status changes are typed as temporal columns for trends.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for large questions. Metabase auto-scans schemas, so Datrise uses readable table and column names so the no-code UI stays self-explanatory.

Ideal for self-serve questions and dashboards for whole teams.

Endpoints

PipeRun: Sales pipeline management for Brazilian revenue teams.

Metabase: Open-source analytics with questions, dashboards, and embedded insights.

How PipeRun entities map to Metabase

PipeRun entityMetabase objectNotes
dealspiperun_dealsid PK · custom fields → flattened columns for the question builder
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 Metabase?

Flexible values are stored as flattened columns for the question builder, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Metabase types.

How does the PipeRun to Metabase sync stay up to date?

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

Related pipelines

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