How does Kondado replicate monday.com data to SQL Server?

Kondado connects to your monday.com account via API authentication and automatically extracts data from your selected pipelines. The platform loads this data into your SQL Server instance on your configured schedule, handling schema creation and updates without requiring manual intervention or technical maintenance.

What monday.com data can I replicate to SQL Server?

You can replicate five distinct pipelines including Board Settings, Board Items, Items: Conversations (Updates), Activity Logs, and Users. Each pipeline contains specific fields such as board_id, item details, conversation threads, event histories, and user information, giving you complete visibility into your project management operations.

How often does monday.com data update in SQL Server?

Kondado updates your SQL Server data on a configurable schedule ranging from every 5 minutes to daily intervals. You control the frequency per pipeline, allowing near-real-time synchronization for critical items while scheduling less frequent updates for historical data to optimize performance and resource usage.

Can I combine monday.com data with other sources in SQL Server?

Yes, SQL Server serves as a central repository where you can join monday.com data with information from other platforms. Combine project data with financial records from Google Sheets or customer metrics from BigQuery to create unified reports that span multiple business functions.

What format does monday.com data take in SQL Server?

Data arrives in SQL Server as structured relational tables with preserved data types from monday.com. Board Items, Activity Logs, and Users each populate separate tables with standard SQL schema, making them immediately queryable using T-SQL for custom analytics and reporting workflows.

Do I need coding skills to set up the monday.com to SQL Server pipeline?

No coding is required to establish the connection or configure data replication. Kondado provides a visual interface where you authenticate your monday.com account, select your desired pipelines, and set update schedules through point-and-click configuration.

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Send monday.com Data to SQL Server Automatically

How to send monday.com data to SQL Server? Kondado provides a direct connection that automatically replicates your project management data from monday.com to SQL Server on a configurable schedule. You select the pipelines you need, configure the update frequency from every 5 minutes to daily, and your data flows into SQL Server without manual exports or complex coding. This enables analysts and technical teams to combine monday.com data with enterprise systems for comprehensive reporting and analysis across your organization, streamlining decision-making processes and eliminating manual data preparation tasks.

Kondado automatically replicates monday.com data to SQL Server, including Board Items, Activity Logs, and User data, updating on your chosen schedule with no coding required.

Our prices start from $19 USD/month, and you can try Kondado for free for 14 days with no credit card required

Once your data arrives in SQL Server, you can build custom reports combining Board Items with Activity Logs to track project velocity and team productivity over time. Analyze Items: Conversations alongside User data to identify communication patterns and optimize collaboration workflows across departments. This structured data enables you to create sophisticated dashboards in Power BI or combine with BigQuery for cross-database analysis, transforming raw project management data into actionable business intelligence that drives strategic decisions.

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monday.com data available for SQL Server

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 SQL Server

Sync data automatically — no code, no manual exports.

Connect your monday.com account

Authenticate your monday.com data source in Kondado using your API token to establish the initial connection and authorize data access.

Configure SQL Server settings

Enter your SQL Server instance details including server address, database name, and credentials to designate where your monday.com data will reside.

Select pipelines and schedule

Choose which pipelines to replicate, such as Board Items or Activity Logs, and configure your update frequency from every 5 minutes to daily intervals.

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