No-code pipeline · PipeRun → BigQuery

Send data from PipeRun to BigQuery

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From PipeRun to BigQuery: managed, scheduled, no code.

Kondado replicates PipeRun opportunities data and custom fields to BigQuery on a configurable schedule, enabling automated sales analytics and reporting without manual CSV exports or complex API development.

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PipeRun to BigQuery Data Replication

Kondado provides a direct integration between PipeRun and BigQuery, allowing you to replicate your sales data without writing code. Simply connect your PipeRun account as a data source, select BigQuery as your destination, and choose which pipelines to replicate. The platform handles the data transfer automatically on your preferred schedule, updating your data warehouse every 5 minutes, hourly, or daily based on your business needs.

Once your PipeRun data lands in BigQuery, you can build comprehensive sales dashboards, analyze funnel performance, and combine CRM insights with marketing or financial data from other sources. This automated pipeline ensures your analytics team always works with current opportunity values, status changes, and custom field updates. You can query historical trends, track conversion rates across pipeline stages, and create automated reports that refresh on schedule to keep stakeholders informed.

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The available pipelines include Opportunities and Opportunities: Custom Fields, giving you access to deal values, status history, closing dates, and personalized field configurations. With this data in BigQuery, you can calculate weighted pipeline values, track average sales cycles from creation to closed_at dates, and segment performance by custom criteria stored in your CRM.

Combine these datasets to analyze how specific custom fields influence win rates or create cohort analyses based on opportunity creation dates. The structured data format in BigQuery allows you to join PipeRun information with advertising spend from Google Ads or customer support data to build complete customer journey reports that update automatically.

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Replicated to BigQuery

PipeRun data available for BigQuery

Tables Kondado writes into your BigQuery, on a schedule you control.

available pipelines

134

extractable fields

BigQuery

Destination

Available integrations

Opportunities

Table provides information on opportunities, including fields such as id, status, value, and closed_at date.

Opportunities: Custom Fields

Table contains custom fields for opportunities, such as deal_id, customfield_name, and value.

See all available data → Send PipeRun to BigQuery →

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How to send PipeRun data to BigQuery

Sync data automatically — no code, no manual exports.

Connect your PipeRun account

Enter your PipeRun API credentials in the Kondado interface to establish authentication and allow data extraction from your CRM.

Set up BigQuery destination

Configure your BigQuery project and dataset details where the opportunities data will be stored and organized.

Choose data and schedule

Select the Opportunities and Custom Fields pipelines you want to replicate, then set your preferred update frequency from 5 minutes to daily intervals.

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Send data from PipeRun to other destinations

PipeRun > Looker Studio

PipeRun > Power BI

Other visualizations

PipeRun > Amazon S3

PipeRun > BigQuery

PipeRun > Excel

PipeRun > Google Sheets

PipeRun > MySQL

PipeRun > PostgreSQL

PipeRun > Redshift

PipeRun > SQL Server

Choose a tool to visualize your PipeRun data

If the software you need is not listed, drop us a messagem. You can use almost every tool

PipeRun > Airtable

PipeRun > Alteryx

PipeRun > Amazon Quicksight

PipeRun > BIMachine

PipeRun > Cortex

PipeRun > Data Studio

PipeRun > Geckoboard

PipeRun > Grafana

PipeRun > IBM Cognos Analytics

PipeRun > Klipfolio

PipeRun > Looker Studio

PipeRun > Looker

PipeRun > Looqbox

PipeRun > Metabase

PipeRun > Microstrategy

PipeRun > Pentaho

PipeRun > Power BI

PipeRun > Qlik Cloud Analytics

PipeRun > Qlik Sense

PipeRun > Qlik

PipeRun > QlikView

PipeRun > Redash

PipeRun > Superset

PipeRun > Tableau

PipeRun > BI TOTVS

PipeRun > Zoho Analytics

Frequently Asked Questions (FAQ)

Answers about sending PipeRun data to BigQuery automatically

How does Kondado replicate PipeRun data to BigQuery? ▼

Kondado connects directly to your PipeRun account using your API credentials to extract opportunities data and custom fields. The platform automatically loads this information into your BigQuery dataset on a schedule you configure, handling schema creation and data type mapping without requiring manual intervention.

What PipeRun data can I replicate to BigQuery? ▼

You can replicate two main pipelines: the standard Opportunities pipeline containing deal IDs, status values, monetary amounts, and closed_at dates, plus the Opportunities: Custom Fields pipeline with deal_id, customfield_name, and value entries. This covers both standard CRM fields and any personalized configurations your sales team uses to track deals.

How often does PipeRun data update in BigQuery? ▼

Kondado updates your BigQuery tables on a configurable schedule that you set during setup, with options ranging from every 5 minutes to daily intervals. This ensures your sales reports reflect recent opportunity changes without overwhelming your API limits or incurring unnecessary processing costs.

Can I combine PipeRun data with other sources in BigQuery? ▼

Yes, once your CRM data resides in BigQuery, you can join it with information from other platforms using SQL queries. Many users combine PipeRun opportunities with marketing data from Google Sheets or financial records from PostgreSQL to calculate customer acquisition costs and lifetime value metrics.

What format does PipeRun data take in BigQuery? ▼

PipeRun data arrives in BigQuery as structured tables with properly typed columns, including timestamps for closed_at dates, numeric fields for deal values, and text fields for status descriptions. The schema preserves relationships between standard opportunities and their associated custom fields through matching deal_id references.

Do I need coding skills to send PipeRun data to BigQuery? ▼

No coding is required to establish the connection or maintain ongoing replication between PipeRun and BigQuery. The interface guides you through authentication, pipeline selection, and scheduling without writing SQL or API calls, though you can use SQL later to transform the data for Looker Studio or Power BI dashboards.

Try out all the features for free for 14 days

Related on Kondado

Try out all the features for free for 14 days