No-code pipeline · monday.com → Redshift

Send data from monday.com to Redshift

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No credit card required | 14 days | 10 million records | 30 pipelines

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From monday.com to Redshift: managed, scheduled, no code.
Creating a pipeline that sends data from monday.com to Redshift data warehouses takes only a few minutes with Kondado. And the whole integration from monday.com to Redshift is managed and executed by our platform. With Kondado, you can focus on extracting value from monday.com data and combining it with other data in your Redshift data warehouse

Send monday.com Data to Redshift Automatically

Connecting your monday.com workspace to Amazon Redshift requires no coding when you use Kondado’s direct integration. Simply authenticate your monday.com account, configure your Redshift cluster as the destination, and select which pipelines you want to replicate. Kondado handles the data extraction and loading on a configurable schedule, ensuring your AWS data warehouse always contains current project management information for analysis.

Kondado automatically replicates monday.com Board Items, Activity Logs, Users, and other project data to your Redshift cluster on a schedule you define, whether every 5 minutes or daily, without requiring manual exports or engineering resources.

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

You can combine monday.com data with information from other sources in Redshift to build comprehensive reports in Power BI, Looker Studio, or other analytics tools. This enables agencies and operations teams to analyze project timelines, resource allocation, and team productivity alongside financial or CRM data stored in your data warehouse.

Available monday.com Pipelines for Redshift

The Board Items and Activity Logs pipelines capture detailed project tracking information that becomes actionable once stored in your AWS data warehouse. By replicating Items: Conversations (Updates) alongside Board Settings, you can analyze communication patterns and workspace structures at scale using standard SQL queries in Redshift. This data enables operations teams to build custom dashboards measuring project velocity, identify bottlenecks in team workflows, and correlate user activity from the Users pipeline with actual task completion rates for comprehensive productivity analysis across multiple client accounts.

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Replicated to Redshift

monday.com data available for Redshift

Tables Kondado writes into your Redshift, on a schedule you control.

5
available pipelines
142
extractable fields
Redshift
Destination

Available integrations

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.

Try out all the features for free for 14 days

How to send monday.com data to Redshift

Sync data automatically — no code, no manual exports.

1
Connect monday.com to Kondado

Authenticate your monday.com workspace by providing your API credentials through Kondado's interface. Select the specific boards and workspaces you want to replicate to your data warehouse.

2
Configure your Redshift destination

Enter your Amazon Redshift cluster connection details including host, database name, and credentials. Kondado validates the connection to ensure your monday.com data can load properly into your AWS environment.

3
Select pipelines and schedule updates

Choose from the five available pipelines such as Board Items and Activity Logs, then set your preferred update frequency ranging from 5 minutes to daily. Kondado begins replicating data immediately according to your schedule.

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Send data from monday.com to other destinations

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Frequently Asked Questions (FAQ)

Answers about sending monday.com data to Redshift automatically

How does Kondado send monday.com data to Redshift?
Kondado connects directly to your monday.com workspace via API and extracts selected pipelines on your configured schedule. The platform automatically loads this data into your Redshift cluster, maintaining schema consistency and handling incremental updates without manual intervention.
What specific monday.com information can I replicate to Redshift?
You can replicate five distinct pipelines including Board Items with task details, Activity Logs tracking all workspace events, and Items: Conversations (Updates) containing team discussions. The Users pipeline provides team member data while Board Settings captures workspace configurations and metadata.
How frequently does my monday.com data update in Redshift?
Kondado updates your Redshift data on a configurable schedule ranging from every 5 minutes to daily intervals. You control the frequency per pipeline based on your analytics needs and API rate limits.
Can I join monday.com data with Salesforce or HubSpot data in Redshift?
Yes, Kondado allows you to replicate data from monday.com alongside 80+ other sources into the same Redshift cluster. This enables you to create unified reports combining project management metrics with CRM data in Power BI or Looker Studio.
What data structure does monday.com use when stored in Redshift?
Each monday.com pipeline becomes a separate schema object in Redshift with fields mapped to appropriate PostgreSQL-compatible data types. Board Items, Activity Logs, and other pipelines maintain their relational structure, allowing complex SQL joins across your project data.
Is technical knowledge required to set up the monday.com to Redshift connection?
No coding is required to establish the connection. You simply authenticate your monday.com account, provide your Redshift credentials, and select desired pipelines through Kondado's interface. The platform manages the technical complexity of API extraction and data loading.
Can I send monday.com data to Google Sheets or BigQuery instead?
Yes, while this page focuses on Redshift, Kondado also supports sending monday.com data to Google Sheets, BigQuery, PostgreSQL, and other destinations. You can configure multiple destinations for the same source data.

Try out all the features for free for 14 days

Try out all the features for free for 14 days