Aptos vs Algorand
Aptos vs Algorand Scalability
Real-time TPS
Aptos TPS is 5.21X higher than Algorand TPS
Max TPS (100 blocks)
Aptos max TPS is 2.26X higher than Algorand max TPS
Max Theoretical TPS
Aptos max theoretical TPS is 17X higher than Algorand max theoretical TPS
Transaction Volume
Aptos transaction volume is 5.21X higher than Algorand transaction volume
Block Time
Aptos block time is 96.23% shorter than Algorand block time
Finality
Aptos finality is the same as Algorand finality
Type
Aptos and Algorand are both layer 1 blockchains
Launch Date
Aptos was launched 3 years after Algorand
Aptos vs Algorand Decentralization
Nakamoto Coefficient
Aptos Nakamoto Coefficient is 1.58X higher than Algorand Nakamoto Coefficient
Validators
Aptos has 91.9% fewer validators than Algorand
Stake
Aptos stake is 8.53X higher than Algorand stake
Consensus Mechanism
Aptos is PoS, while Algorand is Pure Proof of Stake
Governance
Aptos and Algorand governance are both on-chain
Aptos vs Algorand Developer Activity New
Developers
Aptos has 2.13X more developers than Algorand
Repos
Aptos has 27.5% fewer repos than Algorand
Commits
Aptos has 1.38X more commits than Algorand
Stars
Aptos has 1.88X more stars than Algorand
Watchers
Aptos has 1.88X more watchers than Algorand
Aptos vs Algorand Real-Time TPS Chart
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Other Comparisons
Aptos Comparisons
About Blockchains
About Aptos
Aptos is a Layer 1 blockchain platform focused on safety and scalability, driving growth within a decentralized network and developer ecosystem with the Move programming language.
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.