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- Nexa vs Algorand
Nexa vs Algorand
Nexa vs Algorand Scalability
Real-time TPS
Nexa has no data, while Algorand TPS is 5.19 tx/s
Max TPS (100 blocks)
Nexa has no data, while Algorand max TPS is 5,716 tx/s
Max Theoretical TPS
Nexa has no data, while Algorand max theoretical TPS is 9,384 tx/s
Transaction Volume
Nexa has no data, while Algorand transaction volume is 18,686 txns
Block Time
Nexa has no data, while Algorand block time is 2.8s
Finality
Nexa has no data, while Algorand finality is 0s
Type
Nexa has no data, while Algorand is a layer 1 blockchain
Launch Date
Nexa has no data, while Algorand was launched on Jun 12, 2019
Nexa vs Algorand Decentralization
Nakamoto Coefficient
Nexa has no data, while Algorand Nakamoto Coefficient is 12
Validators/Miners
Nexa has no data, while Algorand has 1,866 validators
Stake/Hashrate
Nexa has no data, while Algorand stake is $472.4M
Consensus Mechanism
Nexa has no data, while Algorand is Pure Proof of Stake
Governance
Nexa has no data, while Algorand governance is on-chain
Nexa vs Algorand Developer Activity New
Developers
Nexa has no data, while Algorand has 536 developers
Repos
Nexa has no data, while Algorand has 160 repos
Commits
Nexa has no data, while Algorand has 35,283 commits
Stars
Nexa has no data, while Algorand has 5,058 stars
Watchers
Nexa has no data, while Algorand has 981 watchers
Other Comparisons
Nexa Comparisons
About Blockchains
About Nexa
Nexa is the most scalable decentralized blockchain ever built on UTXO Layer-1. Offering smart-contracts, native token services & instant transactions with top-notch scalability.
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.