Real-time TPS
Bifrost TPS is coming soon, while IoTeX TPS is 0.04 tx/s
Max TPS (100 blocks)
Bifrost max TPS is coming soon, while IoTeX max TPS is 829.7 tx/s
Max Theoretical TPS
Bifrost max theoretical TPS is coming soon, while IoTeX max theoretical TPS is 1,000 tx/s
Total Transactions
Bifrost total txns is coming soon, while IoTeX total txns is 129 txns
Block Time
Bifrost block time is coming soon, while IoTeX block time is 5s
Finality
Bifrost finality is coming soon, while IoTeX finality is 0s
Nakamoto Coefficient
Bifrost and IoTeX nakamoto coefficient are both coming soon
Active Addresses
Bifrost and IoTeX active addresses are both coming soon
Governance
Bifrost governance is coming soon, while IoTeX governance is on-chain
Type
Bifrost type is unknown, while IoTeX is a layer 1 blockchain
Launch Date
The Bifrost launch date is unknown, while IoTeX was launched on Apr 22, 2019
Other Comparisons
Bifrost Comparisons
- Bifrost vs Acala
- Bifrost vs Ajuna Network
- Bifrost vs Astar
- Bifrost vs Bifrost
- Bifrost vs Crust
- Bifrost vs Frequency
- Bifrost vs Hydration
- Bifrost vs Integritee
- Bifrost vs Litentry
- Bifrost vs Mythos
- Bifrost vs Moonbeam
- Bifrost vs NeuroWeb
- Bifrost vs peaq
- Bifrost vs Pendulum
- Bifrost vs Phala Network
- Bifrost vs Robonomics
- Bifrost vs Polkadot
- Bifrost vs Zeitgeist
About Blockchains
About Bifrost
Bifrost is a liquid staking appchain tailored for all blockchains, utilizing decentralized cross-chain interoperability to empower users to earn staking rewards and DeFi yields with flexibility, liquidity, and high security across multiple chains.
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.