What Pipedrive data can I replicate to SQL Server?

You can replicate information from 16 available pipelines including Deals, Persons, Organizations, Activities, and Deal Products. Each pipeline contains specific fields such as deal values, contact emails, activity types, and sales stage history, allowing you to build comprehensive sales analytics in your database.

How often does Pipedrive data update in SQL Server?

Kondado updates your data on a configurable schedule that you control, with options ranging from every 5 minutes to daily intervals. This near-real-time synchronization ensures your SQL Server reflects the latest deal movements and contact updates without manual intervention.

Can I combine Pipedrive data with other sources in SQL Server?

Yes, you can consolidate Pipedrive information with data from additional sources such as marketing platforms or accounting software within your SQL Server environment. This enables cross-functional analysis that combines sales metrics with financial or operational data, creating a single source of truth for comprehensive business intelligence.

What format does Pipedrive data take in SQL Server?

Pipedrive data arrives in SQL Server as structured relational tables with preserved data types and relationships, maintaining the integrity of your CRM information. The replication process creates dedicated tables for each pipeline such as Deals, Activities, and Persons, making the data immediately queryable using standard SQL commands.

Do I need coding skills to set up the Pipedrive to SQL Server connection?

No coding is required to establish the connection, as Kondado provides a visual interface for authenticating your Pipedrive account and configuring your SQL Server destination. You simply select which pipelines to replicate and define your update schedule through an intuitive setup process.

Can I send Pipedrive data to SQL Server and Power BI simultaneously?

Yes, you can send your Pipedrive data to multiple destinations simultaneously, including SQL Server, Power BI , and Google Sheets . This flexibility allows different teams to access the same CRM information in their preferred analytics tools while maintaining a centralized database for complex queries.

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Send Pipedrive Data to SQL Server Automatically

How to send Pipedrive data to SQL Server? You can automate the replication of your sales data by using Kondado’s direct pipeline that connects your CRM to your database without writing code. Kondado provides a streamlined solution that extracts information from Pipedrive and loads it into SQL Server on a configurable schedule. This eliminates manual CSV exports and ensures your analytics infrastructure always contains current information from your sales pipeline, allowing your team to focus on insights rather than data preparation.

Kondado replicates data from 16 Pipedrive pipelines including Deals, Activities, Organizations, and Persons directly to SQL Server, updating automatically every 5 minutes, 15 minutes, hourly, or daily based on your specific business requirements.

Once your data arrives in SQL Server, you can build custom reports, combine CRM metrics with financial data from other systems, and power business intelligence tools like Power BI or Looker Studio. The automated replication ensures that your sales history, deal flow, and contact information remain synchronized without requiring technical maintenance or manual data transfers, enabling faster decision-making across your organization.

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The Deals Flow (History) pipeline tracks changes to deal status and values over time, enabling you to analyze conversion rates and sales velocity directly within SQL Server. By combining this with the Persons and Organizations pipelines, you can create comprehensive customer profiles that link individual contact history to company-wide performance metrics. Additionally, the Activities pipeline provides detailed logs of calls, meetings, and tasks, allowing you to correlate sales rep productivity with deal outcomes. This unified dataset supports advanced analytics such as cohort analysis, forecasting models, and territory management reports that drive strategic sales decisions.

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Pipedrive data available for SQL Server

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 SQL Server

Sync data automatically — no code, no manual exports.

Connect Your Pipedrive Account

Authenticate your Pipedrive data source using your API credentials to establish the initial connection. Kondado will automatically detect the available pipelines and fields from your CRM instance.

Configure SQL Server Destination

Enter your SQL Server connection details including server address, database name, and authentication credentials to establish the target location. You can also choose to send data to additional destinations like BigQuery or PostgreSQL if needed.

Select Pipelines and Schedule

Choose which specific pipelines such as Deals, Activities, or Organizations to replicate and set your preferred update frequency. You can configure the replication to run every 5 minutes, hourly, or daily depending on your business requirements.

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