Walrus Protocol: The Latency Trade-Off
We analyzed the performance benchmarks for Walrus, the decentralized storage protocol on Sui, and the data reveals a clear strategy for developers.
The "TL;DR" from the data:
Writes are Heavy (Blue Line): Uploading scales steeply, hitting ~125s for a 130MB file. The high variance (jitter) comes from the "Red Stuff" erasure coding and the need to reach a 2/3 majority of storage nodes.
Reads are Fast (Orange Line): Retrieval is significantly faster and more stable (~30s for 130MB). Because you only need 1/3 of the slivers to reconstruct data, reads avoid the heavy consensus tax.
Dev Verdict: Walrus is optimized for "Write Once, Read Many" workloads.
Action Item: Always handle large uploads asynchronously in the background. Do not let the "Write Tax" block your dApp's UI!