How does Kondado replicate Pipefy data to SQL Server?

Kondado connects directly to your Pipefy account using your API credentials to extract data from the available pipelines. The platform then automatically loads this information into your SQL Server database tables on the schedule you configure, handling all data type mapping and structure creation without requiring manual intervention.

What specific Pipefy information can I access in SQL Server?

You can replicate data from five distinct pipelines including Cards with their creation dates and completion status, Phases showing duration metrics, and Pipes containing process metadata. The Organizations and Databases pipelines provide additional context about your account structure and entity relationships for comprehensive workflow analytics.

How frequently can I update Pipefy data in my SQL Server database?

Kondado offers configurable scheduling options ranging from every 5 minutes to daily updates, allowing you to balance data freshness with system resources based on your reporting needs. You can adjust these intervals anytime to accommodate peak business periods or reduce frequency during slower times.

Can I merge Pipefy workflow data with other business systems in SQL Server?

Yes, once your Pipefy data resides in SQL Server, you can join it with information from CRM platforms, accounting software, or other databases also stored in your SQL Server instance. This enables cross-functional analytics that correlate process efficiency with sales performance, and you can visualize these combined metrics in Power BI or Looker Studio .

What format does Pipefy data take when stored in SQL Server?

Each Pipefy pipeline becomes a separate table in your SQL Server database with properly typed columns matching the original field structures, including timestamps, text fields, and numerical identifiers. The data arrives normalized and ready for querying through standard SQL commands or connection to business intelligence tools like Power BI .

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

No coding is required to establish the connection, as Kondado provides a no-code interface where you simply authenticate your Pipefy account and select your desired pipelines. The platform handles all API interactions, data transformation, and SQL Server schema management automatically through an intuitive setup process.

Can I choose specific Pipefy pipes or cards to replicate rather than everything?

Yes, during configuration you can select which specific pipelines to enable and often filter the data scope to focus on particular pipes, phases, or time periods relevant to your analysis. This selective replication helps optimize storage usage and query performance in your SQL Server environment.

Send data from Pipefy to SQL Server

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Send Pipefy Data to SQL Server Automatically

How to send Pipefy data to SQL Server? Kondado provides a direct connection that replicates your workflow data from Pipefy to SQL Server on a configurable schedule. Simply select your Pipefy data source, authenticate your account, and choose SQL Server as your destination. The platform handles the data extraction and loading automatically, requiring no coding or manual CSV exports from your business process management system.

Kondado replicates Pipefy Cards, Databases, Organizations, Phases, and Pipes data to SQL Server automatically on a configurable schedule ranging from every 5 minutes to daily, making workflow analytics available for custom reporting and business intelligence.

Once your data arrives in SQL Server, you can combine Pipefy workflow information with data from CRM systems, financial platforms, or other sources to build comprehensive analytics. Use Power BI, Looker Studio, or BigQuery to create custom dashboards that track process efficiency, identify bottlenecks, and measure team performance across your organization.

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The Cards pipeline delivers detailed information about every card in your Pipefy workflows, including creation dates, completion status, and titles, enabling you to analyze cycle times and workload distribution directly in SQL Server. When combined with the Phases pipeline, which tracks duration and movement through each stage of your processes, you can identify bottlenecks and optimize workflow efficiency across departments. The Pipes pipeline provides essential metadata about your processes themselves, allowing you to monitor which workflows are active, track process adoption rates, and correlate specific pipe types with performance metrics for comprehensive business process management analytics that drive operational decisions.

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Pipefy data available for SQL Server

available pipelines

185

extractable fields

Available integrations

Integration	Description
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.

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.

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How to send Pipefy data to SQL Server

Sync data automatically — no code, no manual exports.

Connect your Pipefy account

Authenticate your Pipefy data source in Kondado by providing your API key and selecting the specific organization you want to replicate data from.

Configure SQL Server destination

Enter your SQL Server connection details including server address, database name, and credentials to establish the target location for your Pipefy workflow data.

Select pipelines and schedule

Choose which pipelines such as Cards, Phases, or Pipes you want to replicate and set your preferred update frequency from every 5 minutes to daily intervals.

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