Recently, I came across an interesting migration case — a leading data platform moved 300TB of blockchain data to a distributed storage network. This is worth discussing.

In the past, I was always worried because on-chain historical data relied heavily on centralized nodes, and the risk of data loss or tampering always existed. Now, with a different approach, data is sliced and dispersed across global nodes. Even if some nodes fail, it can be reconstructed through coding mechanisms. This fault-tolerant design truly alleviates concerns.

I personally experienced using this system through the Sui wallet; uploading small files was very smooth — just a few steps, and the cost is stably priced in USD, so there's no need to constantly watch crypto price fluctuations. This is quite friendly for ordinary users.

In my view, such underlying support is especially helpful for AI applications and identity verification projects. For example, after a privacy protocol shifted from IPFS to a distributed storage system, user credentials were migrated over, and with privacy rules in place, data controllability greatly improved. It feels like moving daily records from big cloud providers into your own hands — the sense of security is completely different.

Looking ahead to 2026, these small migrations are expected to become more frequent, and the path toward data autonomy in Web3 will gradually be realized.