- Compare
- Litentry vs Integritee
Litentry vs Integritee Scalability
Real-time TPS
Litentry has no data, while Integritee TPS is 0.1 tx/s
Max TPS (100 blocks)
Litentry has no data, while Integritee max TPS is 14.42 tx/s
Max Theoretical TPS
Litentry has no data, while Integritee max theoretical TPS is 1,500 tx/s
Transaction Volume
Litentry has no data, while Integritee transaction volume is 363 txns
Block Time
Litentry has no data, while Integritee block time is 12.54s
Finality
Litentry has no data, while Integritee finality is 30s
Type
Litentry has no data, while Integritee is a parachain
Launch Date
Litentry has no data, while Integritee was launched on Mar 21, 2022
Litentry vs Integritee Decentralization New
Nakamoto Coefficient
Litentry has no data, while Integritee Nakamoto Coefficient is 278
Validators/Miners
Litentry has no data, while Integritee has 1,000 validators
Stake/Hashrate
Litentry has no data, while Integritee stake is 7.866M KSM
Consensus Mechanism
Litentry has no data, while Integritee is Nominated Proof of Stake
Governance
Litentry has no data, while Integritee governance is on-chain
Other Comparisons
Litentry Comparisons
About Blockchains
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.
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.