How does Pipedrive to BigQuery replication work?

Kondado connects to your Pipedrive account via API and replicates selected data to BigQuery on a configurable schedule. You set the update frequency, choosing intervals of 5 minutes, 15 minutes, hourly, or daily based on your analytics needs.

What Pipedrive data can I replicate to BigQuery?

There are 16 pipelines available including Deals, Organizations, Persons, Products, Activities, and Deals Flow history. Each pipeline contains specific fields such as deal values, creation dates, contact emails, and pipeline stages, totaling 235 available fields.

How often is data updated in BigQuery?

Updates occur on a configurable schedule that you define in the platform. Options include every 5 minutes, 15 minutes, hourly, or daily intervals, ensuring your reports reflect current sales operations without manual intervention.

What format does Pipedrive data arrive in BigQuery?

Data arrives in structured format maintaining original Pipedrive field types, enabling immediate SQL queries. This structure supports direct connection to visualization tools like Power BI , Looker Studio , and others for building custom reports.

Can I combine Pipedrive data with other sources in BigQuery?

Yes, after replication, you can join sales data with marketing, financial, or support information within the same data warehouse. Kondado offers 80+ data sources that can all replicate to BigQuery for unified analytics.

Do I need technical skills to set this up?

No coding or API knowledge is required. Kondado's interface guides you through connecting Pipedrive and configuring BigQuery as your destination, allowing marketing managers and data analysts to set up independently.

How is historical deal data maintained?

The Deals Flow pipeline replicates complete change history including status updates and value modifications. This enables temporal analysis of deal evolution and sales forecasting based on comprehensive historical records.

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Send Pipedrive Data to BigQuery

To send Pipedrive data to BigQuery, use Kondado’s automated data replication platform that connects your sales CRM directly to Google’s data warehouse. Simply authenticate your Pipedrive account through our intuitive interface and select BigQuery as your destination to begin flowing comprehensive sales data for large-scale analysis immediately. The entire process requires absolutely no coding knowledge or technical expertise and runs on a configurable schedule that you control completely, eliminating manual CSV exports and complex API scripts forever.

Kondado is a data integration platform that automatically replicates Pipedrive data to BigQuery, enabling sales leaders and data analysts to analyze CRM information with configurable update schedules, without writing code.

Once fully configured, your deals, contacts, and activities data becomes available in BigQuery for advanced analytics and custom reporting across your entire organization, empowering data-driven decisions with fresh insights available to your operations team.

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

With the Deals and Organizations pipelines available, your operations team can analyze complete sales funnel metrics and historical performance directly in BigQuery. The Persons pipeline enables detailed contact segmentation and lead scoring analysis. This data empowers you to build custom dashboards that combine Pipedrive insights with other business data sources for comprehensive revenue intelligence and strategic planning.

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Pipedrive data available for BigQuery

available pipelines

235

extractable fields

Available integrations

Integration	Description
Activities	Unique identifiers, activity types, and due dates are among the fields available for managing tasks, calls, and meetings.
Activity Fields	Fields such as name, data type, and whether the field is editable are essential for defining metadata of custom activities.
Activity Types	Different types of activities, such as tasks and meetings, are categorized to facilitate management and organization.
Deal Fields	Fields such as value, status, and creation date are fundamental for managing deals and their associated information.
Deal Products	Information about products associated with deals, including identifiers and quantities, is essential for sales tracking.
Deals	Data such as unique identifiers, titles, and values are used to manage and track the progress of deals.
Deals Flow (History)	History of changes in deals, including status and values, provides insights into the progress and evolution of sales.
Notes	Notes linked to deals, people, or organizations include fields such as content, creation date, and unique identifiers.
Organization Fields	Field definitions such as name, type, and status are crucial for managing information about organizations.
Organizations	Data such as unique identifiers, names, and status are used to manage and categorize organizations in the system.
Persons	Includes fields such as id, name, and email, enabling management of contacts and associated information.
Products	Contains information on id, name, and price, facilitating management of the product portfolio.
Sales Pipelines	Presents data on id, name, and stages, allowing visualization of the sales flow.
Stages	Includes fields such as id, name, and order, defining the stages of the sales process.
Teams	Provides data on id, name, and members, facilitating organization and management of teams.
Users	Includes information such as id, name, and email, allowing management of users and their permissions.

Activities

Unique identifiers, activity types, and due dates are among the fields available for managing tasks, calls, and meetings.

Activity Fields

Fields such as name, data type, and whether the field is editable are essential for defining metadata of custom activities.

Activity Types

Different types of activities, such as tasks and meetings, are categorized to facilitate management and organization.

Deal Fields

Fields such as value, status, and creation date are fundamental for managing deals and their associated information.

Deal Products

Information about products associated with deals, including identifiers and quantities, is essential for sales tracking.

Deals

Data such as unique identifiers, titles, and values are used to manage and track the progress of deals.

Deals Flow (History)

History of changes in deals, including status and values, provides insights into the progress and evolution of sales.

Notes

Notes linked to deals, people, or organizations include fields such as content, creation date, and unique identifiers.

Organization Fields

Field definitions such as name, type, and status are crucial for managing information about organizations.

Organizations

Data such as unique identifiers, names, and status are used to manage and categorize organizations in the system.

Persons

Includes fields such as id, name, and email, enabling management of contacts and associated information.

Products

Contains information on id, name, and price, facilitating management of the product portfolio.

Sales Pipelines

Presents data on id, name, and stages, allowing visualization of the sales flow.

Stages

Includes fields such as id, name, and order, defining the stages of the sales process.

Teams

Provides data on id, name, and members, facilitating organization and management of teams.

Users

Includes information such as id, name, and email, allowing management of users and their permissions.

See all available data →

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How to send Pipedrive data to BigQuery

Sync data automatically — no code, no manual exports.

Connect Pipedrive to Kondado

Navigate to data sources and select Pipedrive to begin authentication. Enter your Pipedrive API credentials to allow Kondado to access your sales data.

Configure BigQuery destination

Set BigQuery as your destination, specifying the project and dataset where information will be stored. The platform automatically validates the connection to Google's data warehouse.

Select data and schedule

Choose which pipelines to replicate, such as Deals and Organizations, and set your preferred update frequency. Activate replication to keep your data available for analysis.

Try out all the features for free for 14 days