It has tunable parameters such as the number of old events to keep and replay for new subscribers and the extraBufferCap

But channels also have their application use-cases. Channels are used to handle events that must be processed exactly once. This happens in a design with a type of event that usually has a single subscriber, but intermittently (at startup or during some kind of reconfiguration) there are no subscribers at all, and there is a requirement that all posted events must be retained until a subscriber appears.

Both BroadcastEventBus , that is written with the SharedFlow in the first example, and this SingleShotEventBus, that is written with the Channel, publicly expose their events as Flow, yet they have an important difference.

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With the shared flow, events are broadcast to an unknown number (zero or more) of subscribers. In the absence of a subscriber, any posted event is immediately dropped. It is a design pattern to use for events that must be processed immediately or not at all.

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class SingleShotEventBus { private val _events = Channel() val events = _events.receiveAsFlow() // expose as flow suspend fun postEvent(event: Event) { _events.send(event) // suspends on buffer overflow } }

class StateModel { private val _state = MutableStateFlow(initial) val state = _state.asStateFlow() // read-only public view fun update(newValue: Value) { _state.value = newValue // NOT suspending } }

Know the difference and use both shared flows and channels appropriately. They are both useful and are designed to work well together. However, broadcast channels are obsolete artifacts of the past, they will be deprecated and removed in the future.

With the state flow, the performance difference between a complex channel and a simple flow becomes quite apparent. An implementation of a state flow has allocation-free updates, which was not the case with a conflated broadcast channel.

Think of a val x: StateFlow as an asynchronous and observable counterpart of var x: T . Its most recent value is always available and, in fact, the most recent value is the only one that matters, so updating it is always possible without suspension.

As different kinds of shared flows replaced different kinds of broadcast channels the popular question is what going to happen with plain, regular channels? They are going to stay for many reasons. One reason is that channels are low-level primitives that are used to implement many complex flow operators.

With the channel, each event is delivered to a single subscriber. An attempt to post an event without subscribers will suspend as soon as the channel buffer becomes full, waiting for a subscriber to appear. Posted events are never dropped by default.

All subscribers of a shared flow are asynchronously collecting events in their own context. Emitter does not wait until subscribers finish processing the events. However, when the shared flow buffer is full, the emitter suspends until there is room in the buffer. This suspension of emitter on buffer overflow provides back-pressure to slow down emission when collectors cannot keep up. Alternative strategies to deal with buffer overflow are supported via BufferOverlow parameter.

A popular way to deal with buffer overflow is to drop the oldest events and retain only the most recent, newest events. In particular, it is a great way to model state variables in an application. It is such a wide-spread use-case that it has its own specialized StateFlow type which serves as a replacement for a ConflatedBroadcastChannel, which became obsolete, too.

Know the difference and use both shared flows and channels appropriately. They are both useful and are designed to work well together. However, broadcast channels are obsolete artifacts of the past, they will be deprecated and removed in the future.