Mantle vs Algorand Scalability
Real-time TPS
Mantle has no data, while Algorand TPS is 5.15 tx/s
Max TPS (100 blocks)
Mantle has no data, while Algorand max TPS is 5,716 tx/s
Max Theoretical TPS
Mantle has no data, while Algorand max theoretical TPS is 9,384 tx/s
Transaction Volume
Mantle has no data, while Algorand transaction volume is 18,524 txns
Block Time
Mantle has no data, while Algorand block time is 2.81s
Finality
Mantle has no data, while Algorand finality is 0s
Type
Mantle has no data, while Algorand is a layer 1 blockchain
Launch Date
Mantle has no data, while Algorand was launched on Jun 12, 2019
Mantle vs Algorand Decentralization New
Nakamoto Coefficient
Mantle has no data, while Algorand Nakamoto Coefficient is 12
Validators/Miners
Mantle has no data, while Algorand has 1,903 validators
Stake/Hashrate
Mantle has no data, while Algorand stake is $481.1M
Consensus Mechanism
Mantle has no data, while Algorand is Pure Proof of Stake
Governance
Mantle has no data, while Algorand governance is on-chain
Other Comparisons
Mantle Comparisons
About Blockchains
About Mantle
Mantle Network is dedicated to building an EVM-compatible scaling solution for Ethereum. This means that all contracts and tools running on Ethereum can operate on the Mantle Network with minimal modifications. Taking advantage of its modular architecture, Mantle Network combines an optimistic rollup with various innovative data availability solutions, providing cheaper and more accessible data availability while inheriting the security of Ethereum.
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.