Real-time TPS
Integritee TPS is 99.08% less than Algorand TPS
Max TPS (100 blocks)
Integritee max TPS is 99.74% less than Algorand max TPS
Max Theoretical TPS
Integritee max theoretical TPS is 84.01% less than Algorand max theoretical TPS
Transaction Volume
Integritee transaction volume is 99.08% less than Algorand transaction volume
Block Time
Integritee block time is 4.49X more than Algorand block time
Finality
Integritee finality is 100% more than Algorand finality
Nakamoto Coefficient
Integritee and Algorand nakamoto coefficient are both coming soon
Active Addresses
Integritee and Algorand active addresses are both coming soon
Governance
Integritee and Algorand governance are both coming soon
Type
Integritee is a parachain, while Algorand is a layer 1 blockchain
Launch Date
Integritee was launched 3 years after Algorand
Integritee vs Algorand Real-Time TPS Chart
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Other Comparisons
Integritee Comparisons
About Blockchains
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.
About Algorand
Algorand emerges as a blockchain platform committed to fostering transparency and enabling the growth of decentralized projects and applications. Operating as a public, decentralized blockchain, it leverages a Pure Proof-of-Stake (PPoS) consensus mechanism to uphold network security, efficiency, and decentralization. Powered by the Algorand Consensus Algorithm, the network employs a combination of cryptographic techniques and random selection to attain consensus, effectively addressing the constraints of traditional consensus mechanisms.