Kaia vs Algorand Scalability
Real-time TPS
Kaia TPS is 2.92X higher than Algorand TPS
Max TPS (100 blocks)
Kaia max TPS is 45.03% lower than Algorand max TPS
Max Theoretical TPS
Kaia max theoretical TPS is 3.08X higher than Algorand max theoretical TPS
Transaction Volume
Kaia transaction volume is 2.92X higher than Algorand transaction volume
Block Time
Kaia block time is 64.07% shorter than Algorand block time
Finality
Kaia finality is the same as Algorand finality
Type
Kaia and Algorand are both layer 1 blockchains
Launch Date
Kaia was launched 15 days after Algorand
Kaia vs Algorand Decentralization New
Nakamoto Coefficient
Kaia Nakamoto Coefficient is 83.33% lower than Algorand Nakamoto Coefficient
Validators
Kaia has 97.84% fewer validators than Algorand
Stake
Kaia stake is 26.02% lower than Algorand stake
Consensus Mechanism
Kaia is PoS, while Algorand is Pure Proof of Stake
Governance
Kaia council governance is worse than Algorand on-chain governance
Kaia vs Algorand Real-Time TPS Chart
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Other Comparisons
Kaia Comparisons
About Blockchains
About Kaia
Kaia (ex. Klaytn), an open-source public blockchain created by South Korean internet giant Kakao, prioritizes the metaverse, gaming, and the creator economy. Tailored for the evolving on-chain landscape, Kaia underscores enterprise-grade reliability through its optimized, Byzantine Fault Tolerant (BFT)-based blockchain. Kaia's mission is to decrease the operational costs of blockchain applications, enhance accessibility for end-users, and streamline technology adoption across industries.
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.