- Compare
- Ancient8 vs Algorand
Ancient8 vs Algorand Scalability
Real-time TPS
Ancient8 has no data, while Algorand TPS is 5.07 tx/s
Max TPS (100 blocks)
Ancient8 has no data, while Algorand max TPS is 5,716 tx/s
Max Theoretical TPS
Ancient8 has no data, while Algorand max theoretical TPS is 9,384 tx/s
Transaction Volume
Ancient8 has no data, while Algorand transaction volume is 18,267 txns
Block Time
Ancient8 has no data, while Algorand block time is 2.81s
Finality
Ancient8 has no data, while Algorand finality is 0s
Type
Ancient8 has no data, while Algorand is a layer 1 blockchain
Launch Date
Ancient8 has no data, while Algorand was launched on Jun 12, 2019
Ancient8 vs Algorand Decentralization New
Nakamoto Coefficient
Ancient8 has no data, while Algorand Nakamoto Coefficient is 12
Validators/Miners
Ancient8 has no data, while Algorand has 1,903 validators
Stake/Hashrate
Ancient8 has no data, while Algorand stake is $481.1M
Consensus Mechanism
Ancient8 has no data, while Algorand is Pure Proof of Stake
Governance
Ancient8 has no data, while Algorand governance is on-chain
Other Comparisons
Ancient8 Comparisons
About Blockchains
About Ancient8
Ancient8 Chain is a gaming-focused community-driven Ethereum Layer 2, powered by the OP Stack and enhanced with Celestia, specifically tailored to tackle the scalability and adoption challenges faced by web3 gaming and consumer DApps. By harnessing the strengths of Optimism and Celestia, Ancient8 Chain prioritizes speed, cost-effectiveness, and providing builders with cutting-edge technology, particularly for on-chain gaming development.
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.