- Compare
- THA Chain vs Algorand
THA Chain vs Algorand Scalability
Real-time TPS
THA Chain has no data, while Algorand TPS is 4.67 tx/s
Max TPS (100 blocks)
THA Chain has no data, while Algorand max TPS is 5,716 tx/s
Max Theoretical TPS
THA Chain has no data, while Algorand max theoretical TPS is 9,384 tx/s
Transaction Volume
THA Chain has no data, while Algorand transaction volume is 16,812 txns
Block Time
THA Chain has no data, while Algorand block time is 2.78s
Finality
THA Chain has no data, while Algorand finality is 0s
Type
THA Chain has no data, while Algorand is a layer 1 blockchain
Launch Date
THA Chain has no data, while Algorand was launched on Jun 12, 2019
THA Chain vs Algorand Decentralization New
Nakamoto Coefficient
THA Chain has no data, while Algorand Nakamoto Coefficient is 12
Validators/Miners
THA Chain has no data, while Algorand has 1,903 validators
Stake/Hashrate
THA Chain has no data, while Algorand stake is $481.1M
Consensus Mechanism
THA Chain has no data, while Algorand is Pure Proof of Stake
Governance
THA Chain has no data, while Algorand governance is on-chain
Other Comparisons
THA Chain Comparisons
About Blockchains
About THA Chain
Transactional Hash Asset (THA) revolutionizes the cryptocurrency landscape by reducing blockchain energy costs by a factor of 10¹⁴ while improving security by over 150%. Its innovative POW+POS+POT mechanism ensures a balanced and equitable ecosystem, democratizing mining by reducing the necessary hardware to a basic computer, even if it’s over 10 years old. Join us in shaping the future of fair, accessible, and sustainable digital finance.
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.