How does Kondado replicate Pipefy data to PostgreSQL?

Kondado connects to your Pipefy account using API authentication and extracts data from your selected pipelines automatically. The platform loads this information into your PostgreSQL database on the schedule you define, handling data type mapping and schema creation without requiring manual intervention.

What Pipefy data can I replicate to PostgreSQL?

You can replicate data from five distinct pipelines: Cards containing work item details, Pipes with process configurations, Organizations for team structures, Phases showing workflow stages, and Databases storing entity information. This covers 185 fields including IDs, timestamps, titles, and status fields across your Pipefy environment.

How often does Pipefy data update in PostgreSQL?

Kondado updates your PostgreSQL database on a configurable schedule that you control, with options ranging from every 5 minutes to daily intervals. You select the frequency based on your analytics needs, ensuring your reports reflect the most recent workflow activities without overwhelming your database with unnecessary updates.

Can I combine Pipefy data with other sources in PostgreSQL?

Yes, once your Pipefy data resides in PostgreSQL, you can join it with information from additional Kondado data sources replicating to the same database, such as your CRM or accounting systems. This enables cross-platform analytics where you correlate workflow metrics with sales figures, or visualize consolidated results in Power BI and Looker Studio .

What format does Pipefy data take in PostgreSQL?

Pipefy data arrives in PostgreSQL as structured relational tables, with each pipeline representing a separate table containing normalized fields. Cards, Pipes, and other entities become queryable rows with standard PostgreSQL data types, allowing you to write SQL queries, create views, and build custom reports using familiar database operations.

Do I need coding skills to send Pipefy data to PostgreSQL?

No coding is required to establish the connection or schedule data replication between Pipefy and PostgreSQL. Kondado handles the API complexity and data transformation automatically, though basic SQL knowledge helps you query the replicated data effectively once it arrives in your database.

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Send Pipefy Data to PostgreSQL Automatically

Sending data from Pipefy to PostgreSQL enables teams to run complex SQL queries and build custom analytics on their workflow data. With Kondado, you can automate this process without writing code or managing API connections manually. The platform replicates your Pipefy cards, processes, and organizational data directly into your PostgreSQL database on a schedule you configure.

Kondado connects Pipefy and PostgreSQL, replicating data from five available pipelines including Cards, Pipes, and Organizations on a configurable schedule ranging from every 5 minutes to daily, delivering 185 fields of workflow data to your database automatically.

Once your data lands in PostgreSQL, you can combine it with information from other business systems to create comprehensive reports. Analyze process bottlenecks, track completion rates across departments, and build dashboards that update automatically as your Pipefy data refreshes. This setup gives you complete control over how you visualize and interpret your workflow metrics.

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Replicate the Cards pipeline to track individual work items from creation through completion, enabling you to calculate cycle times and identify delays in your PostgreSQL analytics environment. The Pipes pipeline delivers process metadata that helps you monitor active workflows across departments, while the Organizations pipeline provides structural context for multi-team environments.

With this data in PostgreSQL, you can join Pipefy information with financial records from your ERP or customer data from your CRM to build unified operational dashboards. Create SQL queries that correlate process completion times with revenue cycles, or generate automated reports that refresh on a configurable schedule to keep stakeholders informed without manual exports.

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Pipefy data available for PostgreSQL

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 PostgreSQL

Sync data automatically — no code, no manual exports.

Connect Pipefy to Kondado

Authenticate your Pipefy account in Kondado by providing your API credentials, allowing the platform to access your workflow data and available pipelines. This establishes the data source connection without requiring any code or technical configuration on your end.

Configure PostgreSQL Destination

Enter your PostgreSQL connection details including host, database name, and credentials to designate where your Pipefy data should land. Kondado validates the connection and prepares the destination schema to receive your selected pipelines automatically.

Select Pipelines and Schedule

Choose which Pipefy pipelines to replicate, such as Cards and Pipes, then set your preferred update frequency from every 5 minutes to daily depending on your reporting needs. Once activated, Kondado begins replicating data immediately and maintains automated updates according to your schedule.

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