- Compare
- Aurora vs Algorand
Aurora vs Algorand Scalability
Real-time TPS
Aurora has no data, while Algorand TPS is 5.07 tx/s
Max TPS (100 blocks)
Aurora has no data, while Algorand max TPS is 5,716 tx/s
Max Theoretical TPS
Aurora has no data, while Algorand max theoretical TPS is 9,384 tx/s
Transaction Volume
Aurora has no data, while Algorand transaction volume is 18,267 txns
Block Time
Aurora has no data, while Algorand block time is 2.81s
Finality
Aurora has no data, while Algorand finality is 0s
Type
Aurora has no data, while Algorand is a layer 1 blockchain
Launch Date
Aurora has no data, while Algorand was launched on Jun 12, 2019
Aurora vs Algorand Decentralization New
Nakamoto Coefficient
Aurora has no data, while Algorand Nakamoto Coefficient is 12
Validators/Miners
Aurora has no data, while Algorand has 1,903 validators
Stake/Hashrate
Aurora has no data, while Algorand stake is $481.1M
Consensus Mechanism
Aurora has no data, while Algorand is Pure Proof of Stake
Governance
Aurora has no data, while Algorand governance is on-chain
Other Comparisons
Aurora Comparisons
About Blockchains
About Aurora
Aurora is a Virtual Chain built on NEAR. The first of many. It’s, at the same time, the sandbox and the proof of the robustness of the parent protocol. It’s a smart contract - probably the most complex that exists - that is also an Ethereum Virtual Machine, providing a turn-key solution for developers to operate their apps on an Ethereum-compatible, high-throughput, scalable and future-safe platform, with low transaction costs.
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.