Unity and Photon Realtime: Synchronizing High-Frequency State via ObservedComponents vs RaiseEvent

Answer to the Core Question

When you push the same high‑frequency data (e.g., character transforms or fire‑rate events) through PhotonView ObservedComponents or PhotonNetwork.RaiseEvent, the network overhead diverges mainly in two ways:

• Message count & size: ObservedComponents serialize only changed fields and batch them into the regular Photon send stream (default 10 Hz). A RaiseEvent call emits a full byte payload plus a Photon header (~8–12 bytes) each time it is invoked, with no built‑in delta compression unless you implement it yourself.
• Interest filtering: PhotonView automatically applies the owner‑or‑view interest list, so only clients that need the data receive it. RaiseEvent messages are broadcast to the entire room unless you set a custom receiver mask.

On the Photon Cloud free tier, the maximum concurrent users (CCU) is 20. This limit is enforced on the relay side – all traffic from those 20 clients shares the same bandwidth quota per region. Because ObservedComponents generate fewer messages and each message is smaller, they are less likely to hit the per‑region bandwidth ceiling than a high‑frequency RaiseEvent strategy that sends full payloads every frame.

Resilience During MasterClient Handoff

During a MasterClient transition, all clients re‑establish their view ownership. The built‑in PhotonView system automatically re‑synchronizes the view state from the new owner, and its interpolation/extrapolation logic smooths sudden jumps. RaiseEvent, by contrast, does not provide any automatic state recovery; you must explicitly re‑broadcast the current state or implement a custom buffering strategy. Therefore, ObservedComponents tend to be more resilient to latency spikes that can occur when the MasterClient changes.

Assumptions & Uncertainty

These observations assume:

• A typical transform update rate of 10–15 Hz (the default Photon send rate).
• Use of the default reliability settings (unreliable for fast data, reliable for critical state).
• No additional compression beyond Photon’s built‑in delta compression.
• The free tier’s per‑region bandwidth cap is the limiting factor, not the 20‑CCU cap.

If your game needs higher update rates (e.g., >30 Hz) or you employ custom compression, the relative overhead could shift. In such cases, measuring actual bandwidth with PhotonNetwork.NetworkStatisticsEnabled = true is recommended.

Verification Steps (Optional)

1. Enable network statistics:

   PhotonNetwork.NetworkStatisticsEnabled = true;

2. Run a controlled test: a single client sends transform updates at the target frequency using ObservedComponents, then repeat with RaiseEvent.
3. Log BytesOutPerSecond and MessagesPerSecond for each method over a 30‑second interval.
4. Simulate a MasterClient handoff (e.g., call PhotonNetwork.SetMasterClient) and observe how each method recovers.

Diagnostic Question

To fine‑tune the recommendation for your specific case, could you confirm the intended update rate (updates per second) for the high‑frequency data you plan to synchronize?