What to do with Nintex Tables during migration
Nintex Tables should be treated as a data-store decision, not a normal workflow action mapping. Flow Migrator can identify table dependencies and preserve review context, but the customer must choose where that data should live in the Microsoft stack or business-system architecture.
8 min readUpdated May 22, 2026Nintex Tablesdata migrationDataverse
Quick answer
In shortChoose a replacement data store when workflows depend on Nintex Tables that cannot be converted one-for-one into Power Automate.
Most likely causeNintex Tables are not just workflow actions. They are a source data store with rows, columns, ownership, security, and reporting implications. Power Automate can work with many data stores, but it does not provide a universal Nintex Tables replacement that preserves all semantics automatically.
What to do nextConfirm the connector family first, then test the target connection before you rely on the exported flow.
Why there is no one-click replacement
Nintex Tables are not just workflow actions. They are a source data store with rows, columns, ownership, security, and reporting implications. Power Automate can work with many data stores, but it does not provide a universal Nintex Tables replacement that preserves all semantics automatically.
Because of that, Flow Migrator should flag Nintex Tables as partial and ask the project team to choose a target data store before converting dependent workflows.
Recommended target choices
- Small lookup or configuration tables: SharePoint Lists.
- Business data with relationships, security, or app usage: Dataverse.
- Reporting-heavy or operational data: SQL Server or Azure SQL.
- Data that belongs to an external system: API or custom connector.
- Temporary workflow-only values: variables or static configuration.
Questions to ask before remediation
- How many Nintex Tables exist and which workflows use each table?
- How many rows and columns are in each table?
- Is the data configuration, operational business data, or temporary workflow state?
- Who owns the data and who should be able to edit it?
- Does the replacement need audit history, reporting, or relational structure?
For MSP engagements, treat Nintex Tables as a small data-remediation assessment before estimating the dependent workflow migration.