- Compare
- Trac Network vs IoTeX
Trac Network vs IoTeX Scalability
Real-time TPS
Trac Network has no data, while IoTeX TPS is 2.06 tx/s
Max TPS (100 blocks)
Trac Network has no data, while IoTeX max TPS is 829.7 tx/s
Max Theoretical TPS
Trac Network has no data, while IoTeX max theoretical TPS is 2,000 tx/s
Transaction Volume
Trac Network has no data, while IoTeX transaction volume is 7,420 txns
Block Time
Trac Network has no data, while IoTeX block time is 2.5s
Finality
Trac Network has no data, while IoTeX finality is 0s
Type
Trac Network has no data, while IoTeX is a layer 1 blockchain
Launch Date
Trac Network has no data, while IoTeX was launched on Apr 22, 2019
Trac Network vs IoTeX Decentralization New
Nakamoto Coefficient
Trac Network has no data, while IoTeX Nakamoto Coefficient is 9
Validators/Miners
Trac Network has no data, while IoTeX has 72 validators
Stake/Hashrate
Trac Network has no data, while IoTeX stake is $123.8M
Consensus Mechanism
Trac Network has no data, while IoTeX is PoS
Governance
Trac Network has no data, while IoTeX 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 IoTeX
IoTeX is a blockchain platform designed specifically for the Internet of Things (IoT) industry. It aims to address the scalability, privacy, and security challenges associated with connecting billions of devices to the internet. IoTeX utilizes a unique architecture that combines blockchain, decentralized identity, and secure hardware to create a trusted and privacy-centric infrastructure for IoT applications. It offers lightweight and efficient consensus mechanisms, support for trusted computing environments, and privacy-preserving techniques such as zero-knowledge proofs.