Avalanche vs Algorand Scalability
Real-time TPS
Avalanche TPS is 5.13X higher than Algorand TPS
Max TPS (100 blocks)
Avalanche max TPS is 97.85% lower than Algorand max TPS
Max Theoretical TPS
Avalanche max theoretical TPS is 87.31% lower than Algorand max theoretical TPS
Transaction Volume
Avalanche transaction volume is 5.13X higher than Algorand transaction volume
Block Time
Avalanche block time is 36.88% shorter than Algorand block time
Finality
Avalanche finality is 100% longer than Algorand finality
Type
Avalanche and Algorand are both layer 1 blockchains
Launch Date
Avalanche was launched 1 year after Algorand
Avalanche vs Algorand Decentralization New
Nakamoto Coefficient
Avalanche Nakamoto Coefficient is 2.42X higher than Algorand Nakamoto Coefficient
Validators
Avalanche has 50.81% fewer validators than Algorand
Stake
Avalanche stake is 11X higher than Algorand stake
Consensus Mechanism
Avalanche is PoS, while Algorand is Pure Proof of Stake
Governance
Avalanche and Algorand governance are both on-chain
Avalanche vs Algorand Real-Time TPS Chart
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Other Comparisons
Avalanche Comparisons
About Blockchains
About Avalanche
Avalanche emerges as a rapid, scalable blockchain platform facilitating the seamless creation and deployment of dApps. Distinguished by its unique consensus mechanism, it's particularly good for DeFi applications, allowing high throughput and nearly instant finality. Its architecture allows for a network of interconnected blockchains, each safeguarded by dynamic subsets of validators, ensuring scalability while maintaining speed, reliability, and security.
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.