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- Optimism vs Algorand
Optimism vs Algorand Scalability
Real-time TPS
Optimism TPS is 5.99X higher than Algorand TPS
Max TPS (100 blocks)
Optimism max TPS is 96.49% lower than Algorand max TPS
Max Theoretical TPS
Optimism max theoretical TPS is 92.38% lower than Algorand max theoretical TPS
Transaction Volume
Optimism transaction volume is 5.99X higher than Algorand transaction volume
Block Time
Optimism block time is 28.9% shorter than Algorand block time
Finality
Optimism finality is 100% longer than Algorand finality
Type
Optimism is a layer 2 blockchain, while Algorand is a layer 1 blockchain
Launch Date
Optimism was launched 3 years after Algorand
Optimism vs Algorand Decentralization New
Nakamoto Coefficient
Optimism Nakamoto Coefficient is 91.66% lower than Algorand Nakamoto Coefficient
Validators
Optimism has 99.94% fewer validators than Algorand
Stake
Optimism has no data, while Algorand stake is $481.1M
Consensus Mechanism
Optimism is Rollup (Optimistic), while Algorand is Pure Proof of Stake
Governance
Optimism and Algorand governance are both on-chain
Optimism vs Algorand Real-Time TPS Chart
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Other Comparisons
Optimism Comparisons
About Blockchains
About Optimism
Optimism provides a Layer 2 scaling fix for Ethereum, greatly boosting its scalability and cutting down on gas fees. It maintains robust security measures and guarantees a smooth development experience. Through Optimistic Rollups, it enables swift transaction processing, positioning Ethereum as a viable option for deploying intricate and interactive applications.
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.