- Compare
- XDC Network vs Algorand
XDC Network vs Algorand Scalability
Real-time TPS
XDC Network has no data, while Algorand TPS is 5.07 tx/s
Max TPS (100 blocks)
XDC Network has no data, while Algorand max TPS is 5,716 tx/s
Max Theoretical TPS
XDC Network has no data, while Algorand max theoretical TPS is 9,384 tx/s
Transaction Volume
XDC Network has no data, while Algorand transaction volume is 18,267 txns
Block Time
XDC Network has no data, while Algorand block time is 2.81s
Finality
XDC Network has no data, while Algorand finality is 0s
Type
XDC Network has no data, while Algorand is a layer 1 blockchain
Launch Date
XDC Network has no data, while Algorand was launched on Jun 12, 2019
XDC Network vs Algorand Decentralization New
Nakamoto Coefficient
XDC Network has no data, while Algorand Nakamoto Coefficient is 12
Validators/Miners
XDC Network has no data, while Algorand has 1,903 validators
Stake/Hashrate
XDC Network has no data, while Algorand stake is $481.1M
Consensus Mechanism
XDC Network has no data, while Algorand is Pure Proof of Stake
Governance
XDC Network has no data, while Algorand governance is on-chain
Other Comparisons
XDC Network Comparisons
About Blockchains
About XDC Network
XDC Network is a pioneering blockchain platform tailored to meet the evolving needs of decentralized finance (DeFi) and global trade. With its unparalleled speed, scalability, and cost-efficiency, XDC Network has become the go-to choice for developers creating decentralized applications (DApps) and for users looking to engage in the next generation of financial and trade ecosystems.
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.