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- Agoric vs Algorand
Agoric vs Algorand Scalability
Real-time TPS
Agoric has no data, while Algorand TPS is 5.07 tx/s
Max TPS (100 blocks)
Agoric has no data, while Algorand max TPS is 5,716 tx/s
Max Theoretical TPS
Agoric has no data, while Algorand max theoretical TPS is 9,384 tx/s
Transaction Volume
Agoric has no data, while Algorand transaction volume is 18,267 txns
Block Time
Agoric has no data, while Algorand block time is 2.81s
Finality
Agoric has no data, while Algorand finality is 0s
Type
Agoric has no data, while Algorand is a layer 1 blockchain
Launch Date
Agoric has no data, while Algorand was launched on Jun 12, 2019
Agoric vs Algorand Decentralization New
Nakamoto Coefficient
Agoric has no data, while Algorand Nakamoto Coefficient is 12
Validators/Miners
Agoric has no data, while Algorand has 1,903 validators
Stake/Hashrate
Agoric has no data, while Algorand stake is $481.1M
Consensus Mechanism
Agoric has no data, while Algorand is Pure Proof of Stake
Governance
Agoric has no data, while Algorand governance is on-chain
Other Comparisons
Agoric Comparisons
About Blockchains
About Agoric
Agoric is a Cosmos-based Layer 1 blockchain for building cross-chain smart contracts in JavaScript. The platform’s asynchronous, multi-block architecture uniquely enables developers to orchestrate liquidity and services across the growing multi-chain universe, making Agoric ideal for building software with seamless user experiences. The native token BLD is used for staking and governance. The over-collateralized IST stable token is used to pay network fees.
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.