How does Kondado replicate Pipefy data to MySQL?

Kondado uses a direct integration to extract data from your Pipefy account and load it into your MySQL database tables. The platform connects to Pipefy's API to pull information from your selected pipelines, then transforms and structures the data to fit your MySQL schema. Updates run automatically on your chosen schedule, ensuring your database reflects the latest workflow changes without manual intervention.

What Pipefy data can I replicate to MySQL?

You can replicate data from five distinct pipelines: Cards containing workflow items and their attributes, Databases storing entity information, Organizations with team details, Phases showing process stages, and Pipes representing your workflow structures. Each pipeline contains specific fields, totaling 185 available data points across all endpoints. You select which pipelines to replicate based on your analytical requirements.

How often does Pipefy data update in MySQL?

Kondado updates your MySQL database on a configurable schedule that you set during pipeline configuration. Options include intervals as frequent as every 5 minutes for near-real-time monitoring, or longer periods such as hourly or daily updates for less volatile data. This flexibility allows you to balance data freshness with system resources based on your specific use case.

What format does Pipefy data take in MySQL tables?

Each Pipefy pipeline becomes a separate table in your MySQL database, with columns corresponding to the available fields such as card IDs, titles, creation dates, and completion statuses. The data arrives in a structured relational format that supports standard SQL querying, joins, and aggregations. This structure makes it easy to connect your MySQL data to Power BI , Looker Studio , or Google Sheets for visualization.

Can I combine Pipefy data with other sources in MySQL?

Yes, once Pipefy data resides in MySQL, you can join it with information from other data sources that Kondado supports, such as Pipefy alongside CRM systems, marketing platforms, or financial software. This consolidation enables cross-functional analysis, such as correlating support ticket data from Pipefy with sales metrics from other pipelines. The unified MySQL environment serves as a central repository for building comprehensive business reports.

Do I need coding skills to connect Pipefy to MySQL?

No coding is required to establish the connection between Pipefy and MySQL through Kondado. The platform provides a no-code interface where you authenticate your Pipefy account, enter your MySQL connection details, and select pipelines through a visual interface. Technical users can then leverage the replicated data for custom SQL analysis, while business users can access the data through connected visualization tools.

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Replicate Pipefy Data to MySQL Automatically

Kondado provides a direct integration between Pipefy and MySQL, allowing you to replicate your workflow data without writing code. Simply connect your Pipefy account as a data source, configure your MySQL database as the destination, and select which pipelines you want to replicate. The platform handles the data transfer on a configurable schedule, updating your database every 5 minutes, hourly, or daily based on your business needs. This automated approach eliminates manual exports and keeps your MySQL database updated with your Pipefy processes.

Kondado automatically replicates data from Pipefy to MySQL on a configurable schedule, pulling information from Cards, Databases, Organizations, Phases, and Pipes pipelines to populate your database with structured workflow data.

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Once your data arrives in MySQL, you can analyze Cards data to track completion rates and cycle times across your workflows, or join Phases information with pipe metrics to identify bottlenecks in your processes. The Organizations pipeline provides context for multi-team deployments, enabling you to segment reports by department or business unit. With all 185 fields available across the five pipelines, you can build custom SQL queries that combine Pipefy data with information from other sources to create comprehensive operational reports.

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Pipefy data available for MySQL

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.

See all available data →

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How to send Pipefy data to MySQL

Sync data automatically — no code, no manual exports.

Connect Pipefy Data Source

Authenticate your Pipefy account in Kondado to establish the data source link for reading workflow information.

Configure MySQL Destination

Enter your MySQL database connection parameters to establish the destination endpoint for your replicated data. This configuration enables automated data writes from Pipefy to your MySQL instance, preparing the foundation for connections to Power BI or Looker Studio.

Select Pipelines and Schedule

Choose which of the five available pipelines, such as Cards or Phases, you want to replicate and set your preferred update frequency from 5 minutes to daily. Once replication begins, your MySQL database serves as a data source for Google Sheets and BigQuery analytics projects.

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