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- Wanchain vs Algorand
Wanchain vs Algorand Scalability
Real-time TPS
Wanchain TPS is 91.11% lower than Algorand TPS
Max TPS (100 blocks)
Wanchain max TPS is 97.43% lower than Algorand max TPS
Max Theoretical TPS
Wanchain max theoretical TPS is 94.92% lower than Algorand max theoretical TPS
Transaction Volume
Wanchain transaction volume is 91.11% lower than Algorand transaction volume
Block Time
Wanchain block time is 1.93X longer than Algorand block time
Finality
Wanchain finality is 100% longer than Algorand finality
Type
Wanchain and Algorand are both layer 1 blockchains
Launch Date
Wanchain was launched 1 year before Algorand
Wanchain vs Algorand Decentralization New
Nakamoto Coefficient
Wanchain Nakamoto Coefficient is 83.33% lower than Algorand Nakamoto Coefficient
Validators
Wanchain has 98.21% fewer validators than Algorand
Stake
Wanchain stake is 99.47% lower than Algorand stake
Consensus Mechanism
Wanchain is PoS, while Algorand is Pure Proof of Stake
Governance
Wanchain council governance is worse than Algorand on-chain governance
Wanchain vs Algorand Real-Time TPS Chart
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About Blockchains
About Wanchain
Wanchain is the longest-running decentralized interoperability solution. Founded in 2017, Wanchain is committed to driving blockchain adoption by unifying isolated networks. While connecting the industry's siloed networks, Wanchain strives to accelerate the development of a scalable, industry-wide blockchain interoperability standard. To date, Wanchain's infrastructure connects more than 35 EVM and non-EVM networks while sporting top-grade security and industry-best uptime.
About Algorand
Algorand emerges as a blockchain platform committed to fostering transparency and enabling the growth of decentralized projects and applications. Operating as a public, decentralized blockchain, it leverages a Pure Proof-of-Stake (PPoS) consensus mechanism to uphold network security, efficiency, and decentralization. Powered by the Algorand Consensus Algorithm, the network employs a combination of cryptographic techniques and random selection to attain consensus, effectively addressing the constraints of traditional consensus mechanisms.