Arbitrum vs Algorand Scalability
Real-time TPS
Arbitrum TPS is 6.18X higher than Algorand TPS
Max TPS (100 blocks)
Arbitrum max TPS is 76.23% lower than Algorand max TPS
Max Theoretical TPS
Arbitrum max theoretical TPS is 4.26X higher than Algorand max theoretical TPS
Transaction Volume
Arbitrum transaction volume is 6.18X higher than Algorand transaction volume
Block Time
Arbitrum block time is 91.12% shorter than Algorand block time
Finality
Arbitrum finality is 100% longer than Algorand finality
Type
Arbitrum is a layer 2 blockchain, while Algorand is a layer 1 blockchain
Launch Date
Arbitrum was launched 2 years after Algorand
Arbitrum vs Algorand Decentralization New
Nakamoto Coefficient
Arbitrum Nakamoto Coefficient is 91.66% lower than Algorand Nakamoto Coefficient
Validators
Arbitrum has 99.94% fewer validators than Algorand
Stake
Arbitrum has no data, while Algorand stake is $481.1M
Consensus Mechanism
Arbitrum is Rollup (Optimistic), while Algorand is Pure Proof of Stake
Governance
Arbitrum and Algorand governance are both on-chain
Arbitrum vs Algorand Real-Time TPS Chart
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Other Comparisons
Arbitrum Comparisons
About Blockchains
About Arbitrum
Arbitrum serves as a Layer 2 scaling solution for Ethereum, leveraging rollups to significantly boost scalability and reduce transaction costs while maintaining robust security. It enables developers to execute EVM-compatible smart contracts with a substantially higher transaction throughput and lower fees compared to Ethereum's main chain, making it a compelling platform for decentralized application development.
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.