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Is Everscale a Better Sharding Alternative Than Ethereum?

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While Ethereum has proposed a sharding solution to its scalability trilemma, Everscale has already set the industry standard. 

Blockchain technology is integrating itself into the global economy, with its decentralized nature and efficiency garnering a great deal of attention.

With the soaring adoption of crypto, more and more people are getting involved in blockchain.

However, no matter how good any blockchain technology looks on paper, when it is used by a massive number of people, its scaling capabilities are invariably put to the test. Having an effective scaling mechanism is crucial as it can ensure that a blockchain can operate reliably, regardless of the transaction load.

On the scalability front, the Everscale blockchain does both storage and computation sharding and claims to be the most adaptive network in existence.  Here we’re going to dive into sharding and see what it is, how it works, and why it is important.

Everscale in a nutshell

The Everscale mainnet was launched on May 7, 2020. By a unanimous user vote, it changed its name from Free TON to Everscale on November 10, 2021.

What makes Everscale different is its scalability. The dynamic multithreading and storage sharding allows Everscale to perform 64k+ transactions per second without sacrificing security and decentralization. 

As opposed to networks operating with EIP-1559, load size doesn’t affect Everscale processing fees, making it a viable option for hosting CBDCs, GameFi, SocialFi apps, and other load-intensive projects.

What does Everscale bring to the table?

Everscale is the only blockchain that implements sharding both for storage and computation. While computational sharding has been employed with varying degrees of success by various L2s, storage sharding has not really been achieved by other networks. 

The proto-danksharding EIP may seem to be a solution, but it doesn’t actually “enable” sharding. 

For more on how Everscale sharding stacks up against that of Ethereum 2.0, check out the
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