Comparing top Blockchain?

6 min readSep 2, 2022

In this report we will compare different important accepts of Top blockchains to find out the winner

Market Cap

Market Cap is important indicator of how the blockchain is valued overall by crypto industry.

Native Token distribution

Tokens are generally created in initial sales to either venture capital firms or, in some cases, the general public to raise funds to support development. Additionally, there are several other categories for which token supply is typically “earmarked” at the token creation event:

i. Staking Rewards / Incentives represent tokens slated to be paid out to validators and delegators or emitted in airdrops.

ii. Foundation / Ecosystem Support tokens are typically reserved for building out infrastructure, securing strategic partnerships, and supporting projects that are looking to deploy apps on these networks.

iii. Development Organization and Team tokens incentivize developers tasked with developing core platform technology and conducting ongoing research.

Native token value has a unique relationship with platform security; especially when it comes to PoS networks. In PoS networks, the aggregate value of staked tokens serves as a proxy for how costly it can be to attack the network. Networks with native tokens that are more valuable, more widely distributed, and more commonly used for staking are more difficult to attack. All else equal, higher attack difficulty makes platforms more attractive venues for deploying applications which could, in turn, drive more usage and incremental token value. Hence, native token value and platform security are intertwined and there is a potential for positive feedback loops. The opposite effect is also true. If a native token has little to no value, its platform provides weak censorship resistance and security guarantees. And it will most likely not be an attractive venue for deploying applications that could drive incremental token value.

1. Security

Attack vector 1: 33% attack
How much does it cost for an entity to become 33% validator?

PoS networks reach an agreement and transactions are finalized when 2/3 or 66% of the aggregate financial stake in the network agrees that a block or a series of blocks are final. 33% is generally only enough to halt the chain so it can’t come to consensus and produce new blocks, not to actually perform a double spend. For that you’d need a whopping 66%. So, the blockchains with high Staking amount are secure. The amount staked in different blockchains is showed below.

Attack vector 2 : forcing the 33% of stacker

In this attack an entity(government) forces the stacker to act in certain way or attacks the stackers hardware in some form to control it.

The minimum number of Validators required compromise to control 33% of the network.

It is hard to make profit by making attack on top platforms as mentioned in

Proof of Stake’s security model is being dramatically misunderstood | by Viktor Bunin | Medium

2. Demand for block space

How much people value using layer1==fee paid.

Let’s understand why this is important, all the blockchains have limited number of transition that they can make ,one’s the limit is hint the user’s have to pay higher fee so that the validator include there transaction in the block. So fee paid is directly link to demand for blockchain.

Transaction fee CryptoFees.info 3/9/2022 — -

3. Profit ability of blockchain

Profit=Total Revenue — Total Expenses

Total revenue is the transaction fee paid to validators

Total expenses is the issuance of native token to validators

Profit=Transaction fee — Token issuance

If a blockchain is paying more for security than the revenue they bring in, they’re running a deficit. Which means the coin holders are paying for the security. As result the coin holder are losing the value because of issuance.

The only profitable blockchain will be Ethereum after the post merge.

The first profitable blockchain — by Lucas Campbell (banklesshq.com)

4. Are there developer

Without developers, there are no applications.

Without applications, there are no users.

No users = no value.

As a result, a robust developer ecosystem is essential for the success of a Layer1 . Developers build killer apps that attract end-user to the platform. Which in turn attract more developer to the platform.

Fortunately, Electric Capital does a great job every year diving into the developer ecosystem across different networks.

5. Decentralization

The computational requirements to run a validator node

While PoS networks are substantially less computationally intensive than their PoW counterparts, they nonetheless require upfront and ongoing spend on computer infrastructure to run blockchain software. Depending on how networks are structured, requirements can vary substantially. They span inexpensive consumer-grade hardware such as Raspberry Pis and laptops that cost around $100 to $1,000 to industrial-grade hardware setups that cost thousands of dollars and require substantial recurring maintenance spend.

The minimum financial stake required to enter the validator set.

In addition to procuring hardware to run blockchain software, validators in PoS networks are typically required to “lock-up” a minimum amount of financial stake to enter the validator set. As displayed in the table below, requirements vary substantially on a network-to-network basis.

Staking distribution

6. Performance

While consensus algorithms are a critical component of how networks operate, they also impact one of their most important attributes: performance. Performance is best measured through two metrics: throughput levels and finality. Throughput defines how many transactions a network can handle in a set amount of time and is typically measured in transactions per second (TPS). Finality defines how long a user typically needs to wait until there is a reasonable assurance that their transactions will not be rolled back

7. Governance

Different platforms have different approaches to governance that range from informal coordination on online forums and chat rooms to formal voting processes conducted on-chain. Changes to core technical design features, token inflation rates and economics, and how treasury funds are allocated are all examples of decisions that, to varying degrees, are starting to be coordinated through on-chain governance processes.