- Compare
- Polygon vs Litentry
Polygon vs Litentry Scalability
Real-time TPS
Polygon TPS is 37.68 tx/s, while Litentry has no data
Max TPS (100 blocks)
Polygon max TPS is 429.1 tx/s, while Litentry has no data
Max Theoretical TPS
Polygon max theoretical TPS is 714.3 tx/s, while Litentry has no data
Transaction Volume
Polygon transaction volume is 135,640 txns, while Litentry has no data
Block Time
Polygon block time is 2.13s, while Litentry has no data
Finality
Polygon finality is 5s, while Litentry has no data
Type
Polygon is a sidechain, while Litentry has no data
Launch Date
Polygon was launched on May 30, 2020, while the Litentry has no data
Polygon vs Litentry Decentralization New
Nakamoto Coefficient
Polygon Nakamoto Coefficient is 4, while Litentry has no data
Validators/Miners
Polygon has 105 validators, while Litentry has no data
Stake/Hashrate
Polygon stake is $809.8M, while Litentry has no data
Consensus Mechanism
Polygon is PoS, while Litentry has no data
Governance
Polygon governance is off-chain, while Litentry has no data
Other Comparisons
Polygon Comparisons
About Blockchains
About Polygon
Polygon, formerly Matic Network, is a blockchain platform designed to establish a multi-chain system compatible with Ethereum. It employs a proof-of-stake consensus mechanism similar to Ethereum for on-chain transactions, with its native token being POL. Functioning as a "layer two" or "sidechain" scaling solution alongside Ethereum, Polygon facilitates quicker transactions and lower fees. Its inception aimed to tackle Ethereum's major challenges, including high fees, subpar user experience, and limited transaction throughput, aspiring to create an "Ethereum's internet of blockchains" or a multi-chain ecosystem of Ethereum-compatible 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.