Trac Network vs Avalanche
Trac Network vs Avalanche Scalability
Real-time TPS
Trac Network has no data, while Avalanche TPS is 25.06 tx/s
Max TPS (100 blocks)
Trac Network has no data, while Avalanche max TPS is 122.7 tx/s
Max Theoretical TPS
Trac Network has no data, while Avalanche max theoretical TPS is 1,191 tx/s
Transaction Volume
Trac Network has no data, while Avalanche transaction volume is 90,230 txns
Block Time
Trac Network has no data, while Avalanche block time is 1.32s
Finality
Trac Network has no data, while Avalanche finality is 2s
Type
Trac Network has no data, while Avalanche is a layer 1 blockchain
Launch Date
Trac Network has no data, while Avalanche was launched on Sep 21, 2020
Trac Network vs Avalanche Decentralization New
Nakamoto Coefficient
Trac Network has no data, while Avalanche Nakamoto Coefficient is 29
Validators/Miners
Trac Network has no data, while Avalanche has 936 validators
Stake/Hashrate
Trac Network has no data, while Avalanche stake is $5.206B
Consensus Mechanism
Trac Network has no data, while Avalanche is PoS
Governance
Trac Network has no data, while Avalanche governance is on-chain
Other Comparisons
Trac Network Comparisons
About Blockchains
About Trac Network
Trac Network — unlike traditional blockchains — does not utilize blocks to process transactions. Instead it operates in favor of a constant stream of transactions that are peer-to-peer-validated and settled on decentralized ledgers. The topology of Trac Network allows for near-instant transaction settlement and a better user-experience. Trac Network uses DAGs as well as distributed clocks to maintain linearized and causal order of network messages.
About Avalanche
Avalanche emerges as a rapid, scalable blockchain platform facilitating the seamless creation and deployment of dApps. Distinguished by its unique consensus mechanism, it's particularly good for DeFi applications, allowing high throughput and nearly instant finality. Its architecture allows for a network of interconnected blockchains, each safeguarded by dynamic subsets of validators, ensuring scalability while maintaining speed, reliability, and security.