Real-time TPS
Acala TPS is coming soon, while Algorand TPS is 15 tx/s
Max TPS (100 blocks)
Acala max TPS is coming soon, while Algorand max TPS is 5,716 tx/s
Max Theoretical TPS
Acala max theoretical TPS is coming soon, while Algorand max theoretical TPS is 9,384 tx/s
Total Transactions
Acala total txns is coming soon, while Algorand total txns is 53,987 txns
Block Time
Acala block time is coming soon, while Algorand block time is 2.81s
Finality
Acala finality is coming soon, while Algorand finality is 0s
Nakamoto Coefficient
Acala and Algorand nakamoto coefficient are both coming soon
Active Addresses
Acala and Algorand active addresses are both coming soon
Governance
Acala governance is coming soon, while Algorand governance is on-chain
Type
Acala type is unknown, while Algorand is a layer 1 blockchain
Launch Date
The Acala launch date is unknown, while Algorand was launched on Jun 12, 2019
Other Comparisons
Acala Comparisons
- Acala vs Acala
- Acala vs Ajuna Network
- Acala vs Astar
- Acala vs Bifrost
- Acala vs Crust
- Acala vs Frequency
- Acala vs Hydration
- Acala vs Integritee
- Acala vs Litentry
- Acala vs Mythos
- Acala vs Moonbeam
- Acala vs NeuroWeb
- Acala vs peaq
- Acala vs Pendulum
- Acala vs Phala Network
- Acala vs Robonomics
- Acala vs Polkadot Ecosystem
- Acala vs Zeitgeist
About Blockchains
About Acala
Acala is the all-in-one DeFi hub of Polkadot. Acala is an Ethereum-compatible platform for financial applications to use smart contracts or built-in protocols with out-of-the-box cross-chain capabilities and robust security.
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.