monday.com Data Set: Manage up to 10 million records in a single table

Data Set is a workspace within monday.com for up to 10 million items in a single table – available for all monday.com products on the Enterprise plan. Unlike before, you no longer need an account manager: any account admin can create a Data Set directly via the "+" button. Data Set is suitable for large, active datasets such as leads, tickets, time tracking, or resource directories that need to be managed in one place – in exchange, you forgo subitems, groups, private boards, and a few other features.
Posted on
July 27, 2026
Blinno log thumbnail monday.com Data Set

What Data Set solves

Data Set is a workspace for managing up to 10 million items in a single table. While a standard board on the Enterprise plan supports up to 100,000 items, Data Set is built for teams that need a single source of truth for large volumes of data – such as leads, contacts, tickets, or time tracking – without having to split data across multiple boards.

Source: monday.com

Data Set compared to a standard board

Criterion Standard-Board (Enterprise) Data Set
Maximum Items 100'000 10'000'000
Related items board-dependent up to 10,000,000, max. 10 linked boards, max. 100 per item
Subitems Yes No
Groups Yes No
Drag-and-drop sorting Yes No
Link to the dashboard Yes No
Can be marked as private Yes No

When a Data Set is worth it

A Data Set is the right choice if some or all of the following points apply to your use case:

  • You need a central table as a single source of truth, without splitting data across multiple boards.
  • You are working at a scale that a standard board can no longer handle, or you are migrating a data-intensive workflow to monday.com.
  • All your teams, AI agents, and workflows need access to the same datasets with the same structure.
  • You have a large volume of daily, weekly, or monthly incoming records where deleting or archiving becomes a burden.

In other cases, a standard board is often the better choice: If different teams, regions, or departments each maintain their own lists of the same entity type, each team is often better served by its own board, without having to accept the limitations of Data Set.

Data Set is still not suitable for hierarchical use cases—such as accounts with nested contacts—because it lacks subitems. A standard board or a combination of multiple linked boards remains the better solution here.

Typical use cases

Data Set is designed for active data management at scale, where all entries must reside in a single table:

  • Time tracking
  • Leads and contacts, as described, for example, in our monday CRM use cases
  • Service requests and tickets
  • Resource directories (employees, external partners, assets)
  • Inventory and product catalog management
  • AI-powered data enrichment and agentic workflows
  • Migration of large datasets from external systems to monday.com
  • Snapshots of large datasets for reporting purposes

What Data Set can already do today

Area Details
Items Up to 10 million items in a table
Related items Up to 10 million linked items in total, max. 100 per item
Related boards Up to 10 linked boards per data set
Search, sort, filter, group Fully supported
Dashboards & Reporting Reporting widgets (number, chart, battery) can be used directly in the data set views, for up to 10 million items
Import File import via the UI, batch import API
Export Up to 100,000 items per export
Automation, API, MCP, integrations & monday AI features Fully supported, including AI columns, AI agents, monday Sidekick and Vibe
Note: The table view displays only the first 20,000 items at a time—however, you can still access every entry within the full 10 million using search, sorting, and filters.

Where the limits lie

To maintain performance at this scale, Data Set does not currently support the following standard board features:

  • Subitems are not supported
  • Fixed groups are not available
  • Footer summaries (rollups) are not available
  • Drag-and-drop sorting is not possible
  • A Data Set cannot be linked to a dashboard
  • Work surface widgets (Gantt, Kanban, calendar, resource management) are not supported
  • Item-level permissions (e.g., "edit/view only assigned items") are not supported
  • A Data Set cannot be set to private
  • A Data Set cannot be moved to a private workspace
  • Public board links cannot be shared

How to create a Data Set

Creating a Data Set follows the same logic as a standard board: you create the Data Set, add your columns, and then populate it with data. Items can be added manually in the table, via file import through the UI, via WorkForms, or automatically through automations, integrations, and AI agents. For larger migrations, the batch import API supports up to 20,000 items per run.

Important: Only account admins can create a Data Set.

How to proceed:

  1. Click on the "+"in the left navigation, hover over "Board" and select "New Data Set"This creates an empty Data Set.
  2. Add your columns directly in the table—just like with a standard board.
  3. Populate your Data Set: directly in the table, via file import, using a form, or through integrations, automations, or AI agents. For large-scale migrations, use the batch import API to handle up to 20,000 items per run.
Source: monday.com

Conclusion

Data Set is available for all monday.com products on the Enterprise plan and can be created directly by account admins without needing to go through an account manager. If you need a single source for large, actively growing datasets, Data Set is worth a look; for separate team lists, a standard board often remains the simpler solution.

As a monday.com Platinum Partner, we help you assess whether Data Set is the right move for your company and support you through setup and migration.

Frequently Asked Questions (FAQ)

Who can create a Data Set?

Data Set is available in the Enterprise plan for all monday.com products. Only account admins can create them.

How do I populate a data set with data?

You can add items directly in the table, import a file via the UI, use a form, or generate records through integrations, automations, or AI agents. For large-scale migrations, the batch import API is available, supporting up to 20,000 items per run.

Can I use automations and integrations with a Data Set?

Yes. Automations, API, MCP, and integrations are fully supported. AI columns, AI agents, monday sidekick, and Vibe also work with Data Set.

I only see 20,000 items – how do I access the rest?

The table view only displays the first 20,000 items. You can access every entry in the full data set (up to 10 million items) by using sorting and filters.

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