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- Sonic vs Algorand
Sonic vs Algorand Scalability
Real-time TPS
Sonic TPS is 53.89% lower than Algorand TPS
Max TPS (100 blocks)
Sonic max TPS is 80.07% lower than Algorand max TPS
Max Theoretical TPS
Sonic max theoretical TPS is 42X higher than Algorand max theoretical TPS
Transaction Volume
Sonic transaction volume is 53.88% lower than Algorand transaction volume
Block Time
Sonic block time is 59.95% shorter than Algorand block time
Finality
Sonic finality is the same as Algorand finality
Type
Sonic and Algorand are both layer 1 blockchains
Launch Date
Sonic was launched 5 years after Algorand
Sonic vs Algorand Decentralization New
Nakamoto Coefficient
Sonic Nakamoto Coefficient is 66.66% lower than Algorand Nakamoto Coefficient
Validators
Sonic has 97.84% fewer validators than Algorand
Stake
Sonic stake is 15.22% lower than Algorand stake
Consensus Mechanism
Sonic is PoS, while Algorand is Pure Proof of Stake
Governance
Sonic and Algorand governance are both on-chain
Sonic vs Algorand Real-Time TPS Chart
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Sonic Comparisons
About Blockchains
About Sonic
Sonic is the highest-performing EVM layer-1 blockchain, combining speed, incentives, and world-class infrastructure, powering the next generation of DeFi applications. The chain provides 400,000 TPS and sub-second finality.
By combining a novel consensus mechanism with full EVM compatibility, Sonic delivers unparalleled speed, security, and scalability. The S token is Sonic's native token, used for paying transaction fees, staking, running validators, and participating in governance.
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.