Flow vs peaq Scalability
Real-time TPS
Flow TPS is 7.78 tx/s, while peaq has no data
Max TPS (100 blocks)
Flow max TPS is 134.9 tx/s, while peaq has no data
Max Theoretical TPS
Flow max theoretical TPS is 3,900 tx/s, while peaq has no data
Transaction Volume
Flow transaction volume is 28,012 txns, while peaq has no data
Block Time
Flow block time is 0.82s, while peaq has no data
Finality
Flow finality is 10s, while peaq has no data
Type
Flow is a layer 1 blockchain, while peaq has no data
Launch Date
Flow was launched on Jul 15, 2020, while the peaq has no data
Flow vs peaq Decentralization New
Nakamoto Coefficient
Flow Nakamoto Coefficient is 13, while peaq has no data
Validators/Miners
Flow has 271 validators, while peaq has no data
Stake/Hashrate
Flow stake is $251.5M, while peaq has no data
Consensus Mechanism
Flow is PoS, while peaq has no data
Governance
Flow governance is off-chain, while peaq has no data
Other Comparisons
Flow Comparisons
About Blockchains
About Flow
Flow is a layer one blockchain designed from the ground up for consumer apps and the digital assets that power them. The network runs on a Proof of Stake consensus mechanism with a unique "multi-role" architecture that solves the blockchain trilemma, balancing scalability, efficiency, and cost.
FLOW ($FLOW) is the native utility token that is used for:
- Fees for processing transactions and storing data.
- Buying, selling, and trading assets on Flow
- Staking and delegating to secure the network
Flow tools include:
- Cadence, a purpose-built smart contract programming language designed for consumer-grade applications
- Full EVM equivalence, allowing anything from Ethereum to work on Flow
- Protocol-level account abstraction and mobile support for onboarding new users
- Cross-chain interoperability with the wider web3 ecosystem
- Developer hub with comprehensive documentation and tools
About peaq
peaq is the decentralized Web3 network powering the Economy of Things. Built with Substrate and designed to solve some of our biggest societal and economic challenges, it ensures that the incentives of people and increasingly intelligent machines are aligned.