- Compare
- QFnetwork vs Algorand
QFnetwork vs Algorand Scalability
Real-time TPS
QFnetwork has no data, while Algorand TPS is 5.07 tx/s
Max TPS (100 blocks)
QFnetwork has no data, while Algorand max TPS is 5,716 tx/s
Max Theoretical TPS
QFnetwork has no data, while Algorand max theoretical TPS is 9,384 tx/s
Transaction Volume
QFnetwork has no data, while Algorand transaction volume is 18,267 txns
Block Time
QFnetwork has no data, while Algorand block time is 2.81s
Finality
QFnetwork has no data, while Algorand finality is 0s
Type
QFnetwork has no data, while Algorand is a layer 1 blockchain
Launch Date
QFnetwork has no data, while Algorand was launched on Jun 12, 2019
QFnetwork vs Algorand Decentralization New
Nakamoto Coefficient
QFnetwork has no data, while Algorand Nakamoto Coefficient is 12
Validators/Miners
QFnetwork has no data, while Algorand has 1,903 validators
Stake/Hashrate
QFnetwork has no data, while Algorand stake is $481.1M
Consensus Mechanism
QFnetwork has no data, while Algorand is Pure Proof of Stake
Governance
QFnetwork has no data, while Algorand governance is on-chain
Other Comparisons
QFnetwork Comparisons
About Blockchains
About QFnetwork
QFnetwork merges cutting-edge technologies to revolutionize blockchain, by integrating advanced consensus protocols, parallel execution, innovative storage solutions and more. Delivering unparalleled speed, scalability, and developer-friendly tools. QF network is here to break the barriers that have held dApps back from mass adoption.
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.