When looking at the Walrus project, I habitually compare it with Filecoin and Arweave, as this helps me quickly understand what each one is doing.

Let me put it plainly.

Filecoin is like a "warehouse manager." You give it your data, and it stores a complete, unaltered copy for you. The stability is unquestionable, but the cost is high, and the entire system architecture is quite heavy.

Arweave is like a "permanent cold storage." Pay once, and your data is stored forever, making it especially suitable for articles, historical records, and other content that rarely changes.

And what about Walrus?

My understanding is that it’s like a "file fragment dispersal tool."

It doesn’t store the entire file as a whole but first slices it into countless pieces, then disperses and stores them across different locations. Even if some data is lost, as long as enough parts remain, the entire file can still be reconstructed.

With this comparison, the differences among the three become clear:

Filecoin—full backup, secure and reliable but costly

Arweave—one-time payment for permanent storage, suitable for static content

Walrus—sliced and dispersed, especially good for large files and high-frequency access data

That’s why you often see industry discussions linking Walrus with concepts like "data availability" and "Blob storage" — it’s not a coincidence.

Walrus is more like laying the groundwork for the future Web3 ecosystem. Game save data, AI training datasets, massive content generated by applications — these are prohibitively expensive to store with traditional solutions. But with Walrus’s approach, costs can be significantly reduced, and efficiency can keep pace.

Another important detail is that the distributed storage mechanism used by Walrus inherently has censorship resistance. Data is dispersed everywhere, with no single node able to control the entire system. This is quite meaningful for the long-term development of decentralized applications.