Bitgert vs Algorand
Bitgert vs Algorand Scalability
Real-time TPS
Bitgert has no data, while Algorand TPS is 7.51 tx/s
Max TPS (100 blocks)
Bitgert has no data, while Algorand max TPS is 5,716 tx/s
Max Theoretical TPS
Bitgert has no data, while Algorand max theoretical TPS is 9,384 tx/s
Transaction Volume
Bitgert has no data, while Algorand transaction volume is 27,022 txns
Block Time
Bitgert has no data, while Algorand block time is 2.9s
Finality
Bitgert has no data, while Algorand finality is 0s
Type
Bitgert has no data, while Algorand is a layer 1 blockchain
Launch Date
Bitgert has no data, while Algorand was launched on Jun 12, 2019
Bitgert vs Algorand Decentralization
Nakamoto Coefficient
Bitgert has no data, while Algorand Nakamoto Coefficient is 12
Validators/Miners
Bitgert has no data, while Algorand has 1,874 validators
Stake/Hashrate
Bitgert has no data, while Algorand stake is $474.3M
Consensus Mechanism
Bitgert has no data, while Algorand is Pure Proof of Stake
Governance
Bitgert has no data, while Algorand governance is on-chain
Bitgert vs Algorand Developer Activity New
Developers
Bitgert has no data, while Algorand has 536 developers
Repos
Bitgert has no data, while Algorand has 160 repos
Commits
Bitgert has no data, while Algorand has 35,374 commits
Stars
Bitgert has no data, while Algorand has 5,061 stars
Watchers
Bitgert has no data, while Algorand has 980 watchers
Other Comparisons
Bitgert Comparisons
About Blockchains
About Bitgert
Bitgert is a blockchain ecosystem offering unbeatable speed and the lowest fees, with top-level security and 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.