Should I write a Power Automate flow or a Dataverse plugin?
By Emil Björk · Microsoft business apps consultant, Gothenburg
A flow for anything a maker can build without deployment pipelines, that can tolerate running slightly after the triggering event, and that mostly orchestrates across systems. A plugin for logic that must run synchronously inside the same database transaction as the triggering change, needs to block or alter that change before it commits, or must run reliably under high volume without the throttling limits flows have.
The clearest technical dividing line is transactional integrity. A plugin registered to run synchronously, pre-operation, can validate or modify data before it's committed and can outright block a save that fails a business rule — a flow, even a fast one, runs after the record already exists, which rules it out for anything that must prevent an invalid save rather than react to a valid one.
Beyond that line, it's a maintainability and skills question: flows are visible and editable by a wider range of people (a citizen developer or ops team can adjust a flow's logic without a code deployment), while a plugin needs a developer, a build pipeline, and a proper release process for any change. Default to a flow when either approach would technically work; reach for a plugin only when the transactional or performance requirement genuinely needs it.
Go deeper
- Dataverse plug-ins vs Power AutomateThe decision between a C# plug-in and a Power Automate flow for integration logic in Dataverse — transactions, latency, throughput, ownership.
- Dataverse plug-ins explainedHow Dataverse plug-ins work — pipeline stages, sync vs async, registration, debugging, and when to use a plug-in vs a Power Automate flow.
- Real-time vs background workflows in DataverseThe two execution modes for Dataverse classic workflows — real-time / synchronous vs background / asynchronous — and the implications for behaviour.