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- Viction vs Algorand
Viction vs Algorand Scalability
Real-time TPS
Viction has no data, while Algorand TPS is 8.26 tx/s
Max TPS (100 blocks)
Viction has no data, while Algorand max TPS is 5,716 tx/s
Max Theoretical TPS
Viction has no data, while Algorand max theoretical TPS is 9,384 tx/s
Transaction Volume
Viction has no data, while Algorand transaction volume is 29,721 txns
Block Time
Viction has no data, while Algorand block time is 2.82s
Finality
Viction has no data, while Algorand finality is 0s
Type
Viction has no data, while Algorand is a layer 1 blockchain
Launch Date
Viction has no data, while Algorand was launched on Jun 12, 2019
Viction vs Algorand Decentralization New
Nakamoto Coefficient
Viction has no data, while Algorand Nakamoto Coefficient is 12
Validators/Miners
Viction has no data, while Algorand has 1,903 validators
Stake/Hashrate
Viction has no data, while Algorand stake is $481.1M
Consensus Mechanism
Viction has no data, while Algorand is Pure Proof of Stake
Governance
Viction has no data, while Algorand governance is on-chain
Other Comparisons
Viction Comparisons
About Blockchains
About Viction
Viction, previously known as TomoChain, is a people-centric layer-1 blockchain that provides zero-gas transactions and heightened security, making Web3 accessible and safe for everyone. With a design emphasis on user experience, Viction prioritizes zero-gas transactions through the innovative TRC25 token standard, alongside speed, security, and scalability, all contributing to a more secure and open world.
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.