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- Algorand vs IoTeX
Algorand vs IoTeX Scalability
Real-time TPS
Algorand TPS is 3.34X higher than IoTeX TPS
Max TPS (100 blocks)
Algorand max TPS is 6.89X higher than IoTeX max TPS
Max Theoretical TPS
Algorand max theoretical TPS is 4.69X higher than IoTeX max theoretical TPS
Transaction Volume
Algorand transaction volume is 3.34X higher than IoTeX transaction volume
Block Time
Algorand block time is 1.11X longer than IoTeX block time
Finality
Algorand finality is the same as IoTeX finality
Type
Algorand and IoTeX are both layer 1 blockchains
Launch Date
Algorand was launched 2 months after IoTeX
Algorand vs IoTeX Decentralization New
Nakamoto Coefficient
Algorand Nakamoto Coefficient is 1.33X higher than IoTeX Nakamoto Coefficient
Validators
Algorand has 26X more validators than IoTeX
Stake
Algorand stake is 3.89X higher than IoTeX stake
Consensus Mechanism
Algorand is Pure Proof of Stake, while IoTeX is PoS
Governance
Algorand and IoTeX governance are both on-chain
Algorand vs IoTeX 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 IoTeX
IoTeX is a blockchain platform designed specifically for the Internet of Things (IoT) industry. It aims to address the scalability, privacy, and security challenges associated with connecting billions of devices to the internet. IoTeX utilizes a unique architecture that combines blockchain, decentralized identity, and secure hardware to create a trusted and privacy-centric infrastructure for IoT applications. It offers lightweight and efficient consensus mechanisms, support for trusted computing environments, and privacy-preserving techniques such as zero-knowledge proofs.