Traditional cloud service storage costs have always been a heavy burden for large enterprises, especially in the field of massive data storage where cloud providers tend to charge exorbitantly. Recently, I came across an interesting comparison case: the cost difference for storing 100TB of production data for a manufacturing company is shockingly large.

Using Alibaba Cloud's enterprise storage solution, 100TB of data costs about $200,000 per year, not including hidden costs like data migration and management maintenance. In contrast, with Walrus's enterprise solution, it only costs $40,000—an 80% reduction in price. Even more impressive, Walrus offers a one-click data migration tool, eliminating the need for enterprises to invest technical manpower to handle the process.

From performance metrics, the actual data after migration also speaks volumes—data read latency dropped from 120ms to 80ms, an improvement of nearly 30%. Thanks to its decentralized architecture, the system avoids single points of failure, maintaining data availability at 99.99%, which is more reliable than the traditional solution's 99.9%.

One last point worth mentioning is that Walrus provides dedicated account managers and technical support teams for enterprise users, which can significantly ease many concerns about going on-chain. Overall, this approach is indeed a good idea for large enterprises looking to reduce storage costs while ensuring stability.