Chromia vs Algorand
Chromia vs Algorand Scalability
Real-time TPS
Chromia has no data, while Algorand TPS is 6.58 tx/s
Max TPS (100 blocks)
Chromia has no data, while Algorand max TPS is 5,716 tx/s
Max Theoretical TPS
Chromia has no data, while Algorand max theoretical TPS is 9,384 tx/s
Transaction Volume
Chromia has no data, while Algorand transaction volume is 23,683 txns
Block Time
Chromia has no data, while Algorand block time is 2.93s
Finality
Chromia has no data, while Algorand finality is 0s
Type
Chromia has no data, while Algorand is a layer 1 blockchain
Launch Date
Chromia has no data, while Algorand was launched on Jun 12, 2019
Chromia vs Algorand Decentralization
Nakamoto Coefficient
Chromia has no data, while Algorand Nakamoto Coefficient is 12
Validators/Miners
Chromia has no data, while Algorand has 1,869 validators
Stake/Hashrate
Chromia has no data, while Algorand stake is $455.2M
Consensus Mechanism
Chromia has no data, while Algorand is Pure Proof of Stake
Governance
Chromia has no data, while Algorand governance is on-chain
Chromia vs Algorand Developer Activity New
Developers
Chromia has no data, while Algorand has 536 developers
Repos
Chromia has no data, while Algorand has 160 repos
Commits
Chromia has no data, while Algorand has 35,326 commits
Stars
Chromia has no data, while Algorand has 5,061 stars
Watchers
Chromia has no data, while Algorand has 980 watchers
Other Comparisons
Chromia Comparisons
About Blockchains
About Chromia
Chromia - an innovative Layer-1 relational blockchain platform that uses a modular framework to enable the creation of complex, fully on-chain dapps.
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.