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Use a spreadsheet for straightforward, flexible tracking; choose Dataverse for Teams when you need a relational low-code app that stays inside Teams; and choose full Dataverse when the solution must work beyond Teams or needs broader security, integration, development, or governance capabilities. There is no universal row-count cutoff for moving from a spreadsheet: the right choice depends on the app’s audience, data structure, operations, and licensing.
Start with the job the solution must do
Microsoft frames this choice around four areas: data, application, integration, and administration and governance. In practice, answer these questions before choosing a platform:
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- Audience and app scope: Will people use the solution only in Teams, or also through Power Apps, Power Pages, Dynamics 365, or custom code? Do guests need access?
- Data: Are rows and columns enough, or do you need related tables, files, images, or richer data types? What volume and search patterns matter?
- Connections and development: Which databases, services, connectors, or developer capabilities does the solution require?
- Operations: What security, compliance, backup, restore, retention, and lifecycle controls must administrators provide?
Microsoft’s platform comparison is a useful checklist across these dimensions, but its listed row figures are not a universal migration rule.
When a spreadsheet is enough
A spreadsheet is a practical starting point for informal or bounded tracking when users mainly need a familiar grid and can work with simple rows and columns. It is less suitable once the solution depends on relational data, app-specific access roles, or a managed operational lifecycle.
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Microsoft does not specify a row-count threshold at which a spreadsheet should be replaced. A spreadsheet can therefore be the right fit for one team’s tracking task even when another team needs a database-backed app for a smaller dataset. If the work is in Teams and the immediate need is quick tracking rather than a custom app, Microsoft recommends Lists; its comparison notes an Excel import/export path for Lists. See Microsoft’s comparison of Dataverse for Teams, Dataverse, and Lists.
When to use Dataverse for Teams
Consider Dataverse for Teams when a team needs a low-code app, flow, or chatbot inside Microsoft Teams and a spreadsheet’s flat structure is no longer enough. It supports relational tables, table relationships, files, images, and other rich data types as a data layer for Power Platform solutions in Teams. Its access model is aligned to Teams owners, members, and guests. Microsoft describes these capabilities in its Dataverse for Teams overview.
Capacity and its practical meaning
Microsoft’s current Dataverse for Teams licensing FAQ describes 2 GB of relational database storage per environment and says this can support up to 1 million records based on typical usage. The record figure is an approximate typical-usage description, not a guarantee for every schema or workload. Capacity limits can block creation of new apps, flows, chatbots, tables, or installations while existing solutions continue to work. Microsoft says customers cannot simply buy additional capacity for that environment; the stated route is to upgrade to Dataverse and obtain any required licenses. Consult the Dataverse for Teams FAQ for current details.
Constraints to check before building
- Dataverse for Teams is designed for Teams. If the solution must run outside Teams, Microsoft says the environment needs to be upgraded to Dataverse.
- Microsoft’s FAQ lists custom connectors and desktop flows as unsupported for Dataverse for Teams.
- Using premium connectors requires appropriate user licensing.
- Each Dataverse for Teams environment is associated one-to-one with a Team. Deleting the Team deletes its environment, so ownership and retention need to be considered before relying on it for ongoing business processes.
Microsoft documents the outside-Teams and feature constraints in its licensing FAQ.
When full Dataverse is the better fit
Choose full Dataverse when the app must operate beyond Teams or when the solution needs capabilities that the Teams-focused environment does not provide. Microsoft lists Teams, Power Apps, Power Pages, Dynamics 365, and custom code among the clients for Dataverse.
Full Dataverse is also the stronger candidate when requirements include richer role-based controls, auditing, business units, field-level or hierarchical security, developer APIs and plug-ins, broader integration, or enterprise application lifecycle management. Microsoft’s comparison outlines platform differences. Users need the corresponding standalone Power Platform licenses for the services they use; check Microsoft’s licensing FAQ and current licensing guide for the specific deployment.
Compare the choices side by side
| Option | Best fit | Data and access | Scope and constraints |
|---|---|---|---|
| Spreadsheet | Simple, flexible tracking where a grid is sufficient | Rows and columns; no app-specific relational model or managed role system is established by the choice of spreadsheet alone | Does not require a custom Power Platform app; Microsoft sets no universal spreadsheet replacement threshold |
| Dataverse for Teams | Low-code solutions intended to stay within Teams | Relational tables, files, images, and Teams owner/member/guest-aligned access | 2 GB relational storage per environment; up to 1 million records based on typical usage; feature and capacity constraints apply |
| Full Dataverse | Cross-application use or broader enterprise requirements | Broader security, auditing, developer, and platform capabilities | Supports multiple clients, including Power Apps, Power Pages, Dynamics 365, and custom code; required licenses depend on services used |
The capacity figures above are from Microsoft’s current Dataverse for Teams FAQ. A separate Microsoft comparison last updated October 26, 2022 lists up to 30 million rows for Lists, with considerations above 100,000, and up to 1 million for Dataverse for Teams. Treat those comparison-page figures as dated guidance, not a current operational guarantee; verify service limits before sizing a deployment. See the comparison page.
Plan the environment as well as the app
A Dataverse for Teams environment’s lifecycle is tied to its Team. Before deploying a solution, decide who owns the Team, what happens when the Team is deleted or reorganized, how long data must be retained, and what backup and restore procedures apply.
Microsoft’s governance guidance says makers and tenant administrators receive capacity notifications near 80% usage and describes monitoring environment usage and capacity. Include that monitoring in operations rather than waiting for an app or table creation to be blocked. Review Microsoft’s Dataverse for Teams environment governance guidance.
Quick Recap
A practical decision sequence
- Keep a spreadsheet if the task is simple tracking and does not need relational tables, app roles, or a managed app lifecycle.
- Consider Lists for quick tracking in Teams if a shared list meets the need without building a custom low-code solution. Microsoft’s FAQ says, “Lists is great for quickly tracking data in Teams.” See the Dataverse for Teams FAQ.
- Use Dataverse for Teams if the team needs related data and a low-code solution that remains in Teams, and its capacity, connector, licensing, and governance limits are acceptable.
- Use full Dataverse if users need the app outside Teams or the requirements call for broader security, integrations, developer capabilities, or lifecycle controls.
- Confirm licensing and service limits against the organization’s exact users, services, and deployment before committing. The comparison and FAQ describe platform capabilities, but entitlements depend on licensing.
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