- Compare
- BNB Greenfield vs Litentry
BNB Greenfield vs Litentry Scalability
Real-time TPS
BNB Greenfield TPS is 0.34 tx/s, while Litentry has no data
Max TPS (100 blocks)
BNB Greenfield max TPS is 44.96 tx/s, while Litentry has no data
Max Theoretical TPS
BNB Greenfield max theoretical TPS is 500 tx/s, while Litentry has no data
Transaction Volume
BNB Greenfield transaction volume is 1,215 txns, while Litentry has no data
Block Time
BNB Greenfield block time is 2.52s, while Litentry has no data
Finality
BNB Greenfield finality is 0s, while Litentry has no data
Type
BNB Greenfield is a layer 1 blockchain, while Litentry has no data
Launch Date
BNB Greenfield was launched on Oct 17, 2023, while the Litentry has no data
BNB Greenfield vs Litentry Decentralization New
Nakamoto Coefficient
BNB Greenfield Nakamoto Coefficient is 4, while Litentry has no data
Validators/Miners
BNB Greenfield has 11 validators, while Litentry has no data
Stake/Hashrate
BNB Greenfield stake is 11K BNB, while Litentry has no data
Consensus Mechanism
BNB Greenfield is PoS, while Litentry has no data
Governance
BNB Greenfield governance is on-chain, while Litentry has no data
Other Comparisons
BNB Greenfield Comparisons
About Blockchains
About BNB Greenfield
Positioned as the third blockchain within the BNB Chain ecosystem BNB Greenfield utilizes BNB as its native token. In essence, BNB Greenfield aims to offer decentralized storage infrastructure within the expansive BNB Chain ecosystem. This empowers users and dApps to generate, store, and exchange data while retaining full ownership. The potential outcome is the emergence of a new data-centric economy, enabling all participants within the BNB Chain ecosystem to possess, utilize, and monetize data.
About Litentry
Litentry is a Decentralized Identity Aggregation protocol across multiple networks. It features a DID indexing mechanism and a Substrate-based credit computation network. The protocol provides a decentralized, interoperable identity aggregation service that mitigates the difficulty of resolving agnostic DID mechanisms.