IOTA vs Algorand
IOTA vs Algorand Scalability
Real-time TPS
IOTA has no data, while Algorand TPS is 6.64 tx/s
Max TPS (100 blocks)
IOTA has no data, while Algorand max TPS is 5,716 tx/s
Max Theoretical TPS
IOTA has no data, while Algorand max theoretical TPS is 9,384 tx/s
Transaction Volume
IOTA has no data, while Algorand transaction volume is 23,916 txns
Block Time
IOTA has no data, while Algorand block time is 2.8s
Finality
IOTA has no data, while Algorand finality is 0s
Type
IOTA has no data, while Algorand is a layer 1 blockchain
Launch Date
IOTA has no data, while Algorand was launched on Jun 12, 2019
IOTA vs Algorand Decentralization
Nakamoto Coefficient
IOTA has no data, while Algorand Nakamoto Coefficient is 12
Validators/Miners
IOTA has no data, while Algorand has 1,865 validators
Stake/Hashrate
IOTA has no data, while Algorand stake is $492M
Consensus Mechanism
IOTA has no data, while Algorand is Pure Proof of Stake
Governance
IOTA has no data, while Algorand governance is on-chain
IOTA vs Algorand Developer Activity New
Developers
IOTA has no data, while Algorand has 536 developers
Repos
IOTA has no data, while Algorand has 160 repos
Commits
IOTA has no data, while Algorand has 35,283 commits
Stars
IOTA has no data, while Algorand has 5,059 stars
Watchers
IOTA has no data, while Algorand has 981 watchers
Other Comparisons
IOTA Comparisons
About Blockchains
About IOTA
IOTA is the first distributed ledger built for the “Internet of Everything” - a network for exchanging value and data between humans and machines.
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.