Gnosis Chain vs Bitgreen Scalability
Real-time TPS
Gnosis Chain TPS is 2.18 tx/s, while Bitgreen has no data
Max TPS (100 blocks)
Gnosis Chain max TPS is 80.9 tx/s, while Bitgreen has no data
Max Theoretical TPS
Gnosis Chain max theoretical TPS is 161.9 tx/s, while Bitgreen has no data
Transaction Volume
Gnosis Chain transaction volume is 7,853 txns, while Bitgreen has no data
Block Time
Gnosis Chain block time is 5.15s, while Bitgreen has no data
Finality
Gnosis Chain finality is 2m 40s, while Bitgreen has no data
Type
Gnosis Chain is a sidechain, while Bitgreen has no data
Launch Date
Gnosis Chain was launched on Oct 8, 2018, while the Bitgreen has no data
Gnosis Chain vs Bitgreen Decentralization New
Nakamoto Coefficient
Gnosis Chain and Bitgreen have no data
Validators/Miners
Gnosis Chain has 328,800 validators, while Bitgreen has no data
Stake/Hashrate
Gnosis Chain stake is $47.93M, while Bitgreen has no data
Consensus Mechanism
Gnosis Chain is PoS, while Bitgreen has no data
Governance
Gnosis Chain governance is multisig, while Bitgreen has no data
Other Comparisons
Gnosis Chain Comparisons
About Blockchains
About Gnosis Chain
Gnosis Chain operates as an execution-layer Ethereum Virtual Machine (EVM) chain, utilizing the xDAI stablecoin for transactions and fee payments. Its security is ensured by the Gnosis Beacon Chain (GBC), which employs a Proof-of-Stake consensus mechanism akin to Cardano and Solana. Users stake GNO tokens to participate in transaction validation, earning additional GNO rewards for contributing to network security.
About Bitgreen
Bitgreen is built on the Base network, a secure, low-cost, and developer-friendly Layer 2 blockchain (a scaling solution built on top of Ethereum) created by Coinbase. This integration provides Bitgreen with enhanced scalability, faster transaction speeds, and seamless accessibility for users.
Base's robust infrastructure ensures a reliable and efficient environment for the Bitgreen ecosystem, allowing us to focus on developing innovative applications and delivering real-world value.