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Who can use this feature
Available on monday CRM and monday campaigns
Available on Ultimate plan and Enterprise plan
Note: This feature is currently in Beta. While in Beta, you can request access through your account manager. See the "How to get access" section of this article for more information. Rollout timing for Beta access is not specified in this article.
Overview
Data Set is a work surface inside monday.com designed for managing up to one million items in a single table. It is built for teams that need a single source of truth at large scale, such as CRM leads and contacts or service tickets, without splitting data across multiple boards.
Use this guide to understand what Data Set is, how it differs from a standard board, what it supports, and how to request access.
What is a Data Set?
A Data Set behaves similarly to a board, but is designed specifically for high-volume data. Where a standard board supports up to 100,000 items, a Data Set supports up to one million items and up to one million connected items in a single table.
To keep performance reliable at this scale, some board capabilities are not available in Data Set. See the Limitations section below for the full list.
Common use cases
Data set is designed for scenarios where all items must exist in a single table. Common use cases include:
- CRM leads and contacts
- Service requestors and tickets
- Resource directory entries
- AI data enrichment workflows
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What Data Set supports
Data set includes the following capabilities at scale:
Capability |
Details |
|---|---|
Items |
Up to 1 million items in a single table |
Connected items |
Up to 1 million connected items (total) in a single table; up to 10 connected boards; up to 100 connected items per item |
Sort, filter, and group |
Full support for sort, filter, and group by |
Dashboards and reporting |
Up to 1 million items in a single dashboard report; reporting widgets supported; cross-board reporting is not supported |
Import |
Batch import API supports up to 10,000 items at a time; merge and skip duplicates supported |
Export |
Export up to 100,000 items at a time |
Automations, API, MCP, and integrations |
Full support for automations, API, MCP, integrations, and agentic work |
AI in workflows |
AI blocks used inside workflows are supported; AI columns are not supported |
Limitations
To maintain performance at scale, the following capabilities available on standard boards are not supported in Data Set:
View all limitations
When to use a Data Set vs. a board
A Data Set is the right choice when all of the following apply to your use case:
- You need a single source of truth with no duplicates
- Items are created and triaged in one central table
- You are working with a static data set for reporting purposes
In other scenarios, standard boards may be a better fit. For example, if different teams or geographies manage their own separate lists of leads or contacts, each team can work from its own board without the limitations that Data Set enforces.
Note: Hierarchical use cases such as accounts with nested contacts are not suited to Data Set at this time, as subitems are not supported. A standard board or multiple linked boards may be more appropriate for these workflowsworkflowsworkflowsworkflowsworkflowsworkflowsworkflowsworkflowsworkflowsworkflows.
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How to get access
H2 Set is currently in Beta and is available to monday CRM Ultimate and monday campaigns Enterprise customers. There is no self-serve creation experience at this time.
To request access, reach out to your account manager. They will confirm eligibility based on your plan and guide you through the setup process.
Tip: Data Set is included in the monday CRM Ultimate and monday campaigns Enterprise plans, which are based on the number of leads and contacts. It is not sold as a separate add-on.
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FAQs
How is a Data Set different from a board?
Who is eligible to use Data Set?
Can I use automations and integrations with a Data Set?
I can only see 20,000 items. How do I access the rest?
Is Data Set included in my plan or is it an add-on?
If you have any questions, please reach out to our team right here. We’re available 24/7 and happy to help.