How does Kondado replicate monday.com data to PostgreSQL without coding?

Kondado provides a direct integration where you authenticate your monday.com account and select from five available pipelines including Board Settings and Items Conversations. The platform automatically extracts your selected data and loads it into your PostgreSQL database on your chosen schedule, handling all API complexity and schema management without requiring technical development.

What specific monday.com data can I replicate to PostgreSQL?

You can replicate data from five distinct pipelines covering Board Items with task details, Activity Logs tracking user events, Users with creator information, Board Settings for workspace configurations, and Items Conversations containing update threads. These pipelines deliver 142 total fields including timestamps, IDs, and metadata essential for comprehensive project analysis.

How often does monday.com data update in my PostgreSQL database?

Kondado updates your PostgreSQL data on a configurable schedule that you control, with options ranging from every 5 minutes for near-real-time visibility to hourly or daily intervals for less frequent reporting needs. You can adjust these frequencies per pipeline to optimize API usage while maintaining current data for critical analytics.

What format does monday.com data take when it arrives in PostgreSQL?

Each pipeline creates structured tables in your PostgreSQL database with standardized column names and appropriate data types for fields like created_at timestamps, board_id integers, and event text columns. The schema preserves relationships between entities such as items and their associated users, enabling straightforward SQL joins and complex analytical queries.

Can I combine monday.com data in PostgreSQL with other business sources?

Yes, once your project data resides in PostgreSQL, you can join it with financial records from MySQL, marketing metrics from Amazon S3, or sales data from SQL Server using standard SQL joins. This unified approach enables comprehensive analysis across your entire business stack, allowing you to correlate project completion rates with revenue performance or marketing campaign effectiveness.

How do I build dashboards from monday.com data stored in PostgreSQL?

Connect your PostgreSQL database to visualization tools like Power BI , Looker Studio , or Google Sheets to create custom reports analyzing project velocity, resource allocation, and team productivity. Since the data updates automatically on your configured schedule, your dashboards reflect current project statuses without manual refresh cycles.

What happens when monday.com board structures change?

Kondado automatically detects schema changes in your monday.com account and updates the corresponding PostgreSQL table structures to accommodate new fields or modified data types. This ensures your analytical queries continue functioning correctly even as your project management workflows evolve and expand.

Can I filter which monday.com boards or items get replicated to PostgreSQL?

Yes, during setup you can select specific pipelines and configure filters to replicate only relevant boards, workspaces, or time periods, preventing unnecessary data transfer and storage costs. This selective approach ensures your PostgreSQL database contains only the project information necessary for your specific analytical requirements.

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Send monday.com Data to PostgreSQL

How do you send monday.com data to PostgreSQL efficiently? Kondado offers a direct integration that automates the replication of your project management data into your PostgreSQL database without requiring any coding or maintenance. Simply authenticate your monday.com account as a data source, configure your PostgreSQL destination, and select which pipelines you want to replicate based on your analytical needs. The platform handles the entire data extraction and loading process on a configurable schedule, ensuring your database stays current with the latest board items, user activities, and workspace changes without manual intervention.

Kondado replicates monday.com data to PostgreSQL automatically on a configurable schedule, supporting five distinct pipelines including Board Items, Activity Logs, and Users, with updates available every 5 minutes to daily intervals.

Once your data arrives in PostgreSQL, you can perform complex SQL analysis, join project metrics with financial data from other sources, or build custom dashboards in Power BI and Looker Studio. This automated workflow eliminates manual CSV exports and enables sophisticated analytics on your team’s productivity, resource allocation, and project velocity using standard database queries.

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The Board Items pipeline delivers essential task information including item names and update timestamps directly into your PostgreSQL database, enabling you to calculate project velocity and track completion rates using standard SQL queries. By combining the Activity Logs pipeline with the Users data, you can analyze team engagement patterns and identify which collaborators are driving updates across specific workspaces, creating comprehensive productivity reports that join behavioral data with project milestones. These replicated datasets empower you to build automated workflows that trigger alerts when items remain stagnant or generate custom analytics dashboards that visualize workload distribution across your organization.

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monday.com data available for PostgreSQL

available pipelines

142

extractable fields

Available integrations

Integration	Description
Board Settings	Includes fields such as board_id, group_id, and workspace_id, allowing management of specific settings for each board.
Board Items	Contains information such as id, name, and updated_at, essential for tracking and managing items within each board.
Items: Conversations (Updates)	Presents fields such as id, item_id, and created_at, allowing tracking of updates and interactions related to each item.
Activity Logs	Records events with fields such as id, created_at, and event, providing a detailed history of activities performed.
Users	Includes fields such as user_id and creator_name, allowing identification and management of users interacting with items and updates.

Board Settings

Includes fields such as board_id, group_id, and workspace_id, allowing management of specific settings for each board.

Board Items

Contains information such as id, name, and updated_at, essential for tracking and managing items within each board.

Items: Conversations (Updates)

Presents fields such as id, item_id, and created_at, allowing tracking of updates and interactions related to each item.

Activity Logs

Records events with fields such as id, created_at, and event, providing a detailed history of activities performed.

Users

Includes fields such as user_id and creator_name, allowing identification and management of users interacting with items and updates.

See all available data →

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How to send monday.com data to PostgreSQL

Sync data automatically — no code, no manual exports.

Connect monday.com as data source

Authenticate your monday.com account in Kondado by providing your API credentials, allowing the platform to access your boards, items, and user data for replication.

Configure PostgreSQL destination

Enter your PostgreSQL connection details including host, database name, and credentials to establish the target location where your monday.com data will land.

Select pipelines and schedule

Choose from the five available pipelines such as Board Items and Activity Logs, then set your preferred update frequency from every 5 minutes to daily intervals to automate the replication process.

Try out all the features for free for 14 days