Algorand vs Kaia Scalability
Real-time TPS
Algorand TPS is 56.72% lower than Kaia TPS
Max TPS (100 blocks)
Algorand max TPS is 1.82X higher than Kaia max TPS
Max Theoretical TPS
Algorand max theoretical TPS is 67.55% lower than Kaia max theoretical TPS
Transaction Volume
Algorand transaction volume is 56.72% lower than Kaia transaction volume
Block Time
Algorand block time is 2.81X longer than Kaia block time
Finality
Algorand finality is the same as Kaia finality
Type
Algorand and Kaia are both layer 1 blockchains
Launch Date
Algorand was launched 15 days before Kaia
Algorand vs Kaia Decentralization New
Nakamoto Coefficient
Algorand Nakamoto Coefficient is 6X higher than Kaia Nakamoto Coefficient
Validators
Algorand has 46X more validators than Kaia
Stake
Algorand stake is 1.35X higher than Kaia stake
Consensus Mechanism
Algorand is Pure Proof of Stake, while Kaia is PoS
Governance
Algorand on-chain governance is better than Kaia council governance
Algorand vs Kaia Real-Time TPS Chart
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Other Comparisons
Algorand Comparisons
About Blockchains
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.
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.