Hive vs Algorand
Hive vs Algorand Scalability
Real-time TPS
Hive has no data, while Algorand TPS is 6.24 tx/s
Max TPS (100 blocks)
Hive has no data, while Algorand max TPS is 5,716 tx/s
Max Theoretical TPS
Hive has no data, while Algorand max theoretical TPS is 9,384 tx/s
Transaction Volume
Hive has no data, while Algorand transaction volume is 22,447 txns
Block Time
Hive has no data, while Algorand block time is 2.86s
Finality
Hive has no data, while Algorand finality is 0s
Type
Hive has no data, while Algorand is a layer 1 blockchain
Launch Date
Hive has no data, while Algorand was launched on Jun 12, 2019
Hive vs Algorand Decentralization
Nakamoto Coefficient
Hive has no data, while Algorand Nakamoto Coefficient is 12
Validators/Miners
Hive has no data, while Algorand has 1,865 validators
Stake/Hashrate
Hive has no data, while Algorand stake is $455.6M
Consensus Mechanism
Hive has no data, while Algorand is Pure Proof of Stake
Governance
Hive has no data, while Algorand governance is on-chain
Hive vs Algorand Developer Activity New
Developers
Hive has no data, while Algorand has 536 developers
Repos
Hive has no data, while Algorand has 160 repos
Commits
Hive has no data, while Algorand has 35,312 commits
Stars
Hive has no data, while Algorand has 5,062 stars
Watchers
Hive has no data, while Algorand has 980 watchers
Other Comparisons
Hive Comparisons
About Blockchains
About Hive
Hive is a DPoS powered blockchain & cryptocurrency. Fast. Scalable. Powerful. Hive has a thriving ecosystem of dapps, communities & individuals.
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.