Starknet vs Algorand Scalability
Real-time TPS
Starknet TPS is 66.6% lower than Algorand TPS
Max TPS (100 blocks)
Starknet max TPS is 93.32% lower than Algorand max TPS
Max Theoretical TPS
Starknet max theoretical TPS is 89.42% lower than Algorand max theoretical TPS
Transaction Volume
Starknet transaction volume is 66.6% lower than Algorand transaction volume
Block Time
Starknet block time is 2.82X longer than Algorand block time
Finality
Starknet finality is 100% longer than Algorand finality
Type
Starknet is a layer 2 blockchain, while Algorand is a layer 1 blockchain
Launch Date
Starknet was launched 2 years after Algorand
Starknet vs Algorand Decentralization New
Nakamoto Coefficient
Starknet Nakamoto Coefficient is 91.66% lower than Algorand Nakamoto Coefficient
Validators
Starknet has 99.94% fewer validators than Algorand
Stake
Starknet has no data, while Algorand stake is $481.1M
Consensus Mechanism
Starknet is Rollup (ZK), while Algorand is Pure Proof of Stake
Governance
Starknet and Algorand governance are both on-chain
Starknet vs Algorand Real-Time TPS Chart
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Other Comparisons
Starknet Comparisons
About Blockchains
About Starknet
Starknet stands as a permissionless blockchain solution, functioning as a Validity-Rollup, often referred to as a zero-knowledge rollup (ZK rollup) for Ethereum. It's a Layer 2 (L2) platform that empowers dApps to achieve significant computational scalability while upholding Ethereum's inherent composability and security standards.
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.