No-code pipeline · Pipefy → BigQuery

Send data from Pipefy to BigQuery

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

Creating a pipeline that sends data from Pipefy to BigQuery data warehouses takes only a few minutes with Kondado. And the whole integration from Pipefy to BigQuery is managed and executed by our platform. With Kondado, you can focus on extracting value from Pipefy data and combining it with other data in your BigQuery data warehouse

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Replicate Pipefy Data to BigQuery Automatically

Sending Pipefy data to BigQuery enables comprehensive workflow analytics and process optimization across your organization. Kondado provides a direct connection that replicates your Pipefy cards, databases, and process information directly into BigQuery without requiring engineering resources. You can configure automated updates to run every 5 minutes, 15 minutes, hourly, or daily based on your business requirements. Once your data arrives in BigQuery, you can build custom SQL queries to analyze process bottlenecks, track completion rates, and combine workflow data with financial or marketing metrics for holistic business intelligence.

Setting up this pipeline takes minutes and requires no coding knowledge. Simply authenticate your Pipefy account, select the specific pipelines you need, and define your preferred replication frequency. Your data flows continuously into BigQuery ready for immediate analysis in Looker Studio, Power BI, or other analytics tools.

Kondado replicates data from Pipefy to BigQuery on a configurable schedule, providing analysts with fresh workflow data for SQL analysis, custom dashboard creation, and cross-platform reporting alongside other business data sources.

Our prices start from $19 USD/month, and you can try Kondado for free for 14 days with no credit card required

The Cards pipeline delivers detailed information about every card in your workflows, including creation dates, titles, and completion statuses directly into your data warehouse. Combined with the Phases pipeline, which tracks duration and movement through process stages, you can calculate cycle times and identify bottlenecks in BigQuery. The Pipes pipeline provides process metadata and status information that helps you monitor overall pipeline health across departments. By joining these datasets in BigQuery, you create comprehensive process analytics that reveal operational efficiency patterns and resource allocation insights. You can also correlate Organizations data with card volume to analyze workload distribution by team or department.

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Replicated to BigQuery

Pipefy data available for BigQuery

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

available pipelines

185

extractable fields

BigQuery

Destination

Available integrations

Cards

Contains information about cards, including ID, title, creation date, and completion status.

Databases

Stores entity data with ID, update timestamp, and replication information.

Organizations

Includes details about organizations, such as ID, name, and contact information.

Phases

Describes the phases of the process, with ID, name, and duration in each phase.

Pipes

Represents the pipes used, including ID, name, and status of the processes.

See all available data → Send Pipefy to BigQuery →

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How to send Pipefy data to BigQuery

Sync data automatically — no code, no manual exports.

Connect Your Pipefy Account

Authenticate your Pipefy credentials in Kondado to establish read access to your workflows and process data.

Set Up BigQuery Destination

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

Choose Pipelines and Schedule

Select the specific pipelines you want to replicate from the available Cards, Phases, Pipes, Databases, and Organizations options, then set your preferred update frequency.

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Send data from Pipefy to other destinations

Pipefy > Looker Studio

Pipefy > Power BI

Other visualizations

Pipefy > Amazon S3

Pipefy > BigQuery

Pipefy > Excel

Pipefy > Google Sheets

Pipefy > MySQL

Pipefy > PostgreSQL

Pipefy > Redshift

Pipefy > SQL Server

Choose a tool to visualize your Pipefy data

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

Pipefy > Airtable

Pipefy > Alteryx

Pipefy > Amazon Quicksight

Pipefy > BIMachine

Pipefy > Cortex

Pipefy > Data Studio

Pipefy > Geckoboard

Pipefy > Grafana

Pipefy > IBM Cognos Analytics

Pipefy > Klipfolio

Pipefy > Looker Studio

Pipefy > Looker

Pipefy > Looqbox

Pipefy > Metabase

Pipefy > Microstrategy

Pipefy > Pentaho

Pipefy > Power BI

Pipefy > Qlik Cloud Analytics

Pipefy > Qlik Sense

Pipefy > Qlik

Pipefy > QlikView

Pipefy > Redash

Pipefy > Superset

Pipefy > Tableau

Pipefy > BI TOTVS

Pipefy > Zoho Analytics

Frequently Asked Questions (FAQ)

Answers about sending Pipefy data to BigQuery automatically

How does Kondado replicate Pipefy data to BigQuery? ▼

Kondado connects directly to your Pipefy account using your API credentials and automatically extracts data from your selected pipelines. The platform loads this information into your BigQuery dataset on your chosen schedule, handling schema mapping and data type conversion automatically.

What Pipefy data can I replicate to BigQuery? ▼

You can replicate five distinct pipelines including Cards with completion statuses, Phases showing duration metrics, Pipes containing process definitions, Databases with entity records, and Organizations with team details. Each pipeline contains specific fields that enable detailed workflow analysis and process mining in your data warehouse.

How often does Pipefy data update in BigQuery? ▼

You configure the update frequency based on your analytics needs, choosing intervals from every 5 minutes to daily schedules. This flexibility ensures your BigQuery datasets contain current information without overwhelming your Pipefy API limits or incurring unnecessary processing costs.

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

Yes, you can join Pipefy workflow data with information from Pipefy and other platforms like PostgreSQL or cloud applications within BigQuery. This capability enables comprehensive analysis such as correlating sales pipeline velocity from Pipefy with revenue data from your CRM or financial systems.

What format does Pipefy data take in BigQuery? ▼

Pipefy data arrives in BigQuery as structured records with preserved relationships between cards, phases, and processes. You can query this information using standard SQL to build custom dashboards in Looker Studio or Power BI, creating visualizations that track process performance over time.

Do I need technical skills to set up the Pipefy to BigQuery pipeline? ▼

No coding is required to establish the connection between Pipefy and BigQuery. The setup process involves authenticating your Pipefy account through Kondado's interface, selecting your desired pipelines, and specifying your BigQuery destination details.

Try out all the features for free for 14 days

Related on Kondado

Try out all the features for free for 14 days