Hyperliquid vs Integritee Scalability
Real-time TPS
Hyperliquid has no data, while Integritee TPS is 0.09 tx/s
Max TPS (100 blocks)
Hyperliquid has no data, while Integritee max TPS is 14.42 tx/s
Max Theoretical TPS
Hyperliquid has no data, while Integritee max theoretical TPS is 1,500 tx/s
Transaction Volume
Hyperliquid has no data, while Integritee transaction volume is 336 txns
Block Time
Hyperliquid has no data, while Integritee block time is 12.97s
Finality
Hyperliquid has no data, while Integritee finality is 30s
Type
Hyperliquid has no data, while Integritee is a parachain
Launch Date
Hyperliquid has no data, while Integritee was launched on Mar 21, 2022
Hyperliquid vs Integritee Decentralization New
Nakamoto Coefficient
Hyperliquid has no data, while Integritee Nakamoto Coefficient is 282
Validators/Miners
Hyperliquid has no data, while Integritee has 1,000 validators
Stake/Hashrate
Hyperliquid has no data, while Integritee stake is $115.2M
Consensus Mechanism
Hyperliquid has no data, while Integritee is Nominated Proof of Stake
Governance
Hyperliquid has no data, while Integritee governance is on-chain
Other Comparisons
Hyperliquid Comparisons
About Blockchains
About Hyperliquid
Hyperliquid is a Layer 1 blockchain that aims to enhance the efficiency and performance of DeFi applications, especially perpetual futures trading. It offers zero gas fees, instant finality, and a fully on-chain order book for its users.
About Integritee
Integritee is a blockchain project focused on providing privacy-preserving solutions for dApps and smart contracts. It aims to enable confidential computing on public blockchains, allowing sensitive data to be processed securely without compromising privacy. Integritee utilizes trusted execution environments (TEEs), such as Intel SGX, to create secure enclaves where data can be processed confidentially. This ensures that data remains encrypted and inaccessible to anyone, including the network validators or operators, while it is being processed. This idea opens up new possibilities for privacy-focused applications in finance, healthcare, and so on.