Fogo vs Algorand
Fogo vs Algorand Scalability
Real-time TPS
Fogo has no data, while Algorand TPS is 8.27 tx/s
Max TPS (100 blocks)
Fogo has no data, while Algorand max TPS is 5,716 tx/s
Max Theoretical TPS
Fogo has no data, while Algorand max theoretical TPS is 9,384 tx/s
Transaction Volume
Fogo has no data, while Algorand transaction volume is 29,777 txns
Block Time
Fogo has no data, while Algorand block time is 2.89s
Finality
Fogo has no data, while Algorand finality is 0s
Type
Fogo has no data, while Algorand is a layer 1 blockchain
Launch Date
Fogo has no data, while Algorand was launched on Jun 12, 2019
Fogo vs Algorand Decentralization
Nakamoto Coefficient
Fogo has no data, while Algorand Nakamoto Coefficient is 12
Validators/Miners
Fogo has no data, while Algorand has 1,869 validators
Stake/Hashrate
Fogo has no data, while Algorand stake is $455.2M
Consensus Mechanism
Fogo has no data, while Algorand is Pure Proof of Stake
Governance
Fogo has no data, while Algorand governance is on-chain
Fogo vs Algorand Developer Activity New
Developers
Fogo has no data, while Algorand has 536 developers
Repos
Fogo has no data, while Algorand has 160 repos
Commits
Fogo has no data, while Algorand has 35,326 commits
Stars
Fogo has no data, while Algorand has 5,061 stars
Watchers
Fogo has no data, while Algorand has 980 watchers
Other Comparisons
Fogo Comparisons
About Blockchains
About Fogo
Fogo is an SVM chain running the Firedancer client in its purest form to achieve real-time experiences at scale.
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.