Real-time TPS
Robonomics TPS is coming soon, while Integritee TPS is 0.1 tx/s
Max Recorded TPS (over 100 blocks)
Robonomics max TPS is coming soon, while Integritee max TPS is 14.42 tx/s
Max Theoretical TPS
Robonomics max theoretical TPS is coming soon, while Integritee max theoretical TPS is 1,500 tx/s
Block Time
Robonomics block time is coming soon, while Integritee block time is 12.22s
Finality
Robonomics finality is coming soon, while Integritee finality is 1m
Type
Robonomics type is unknown, while Integritee is a parachain
Governance
Robonomics governance is coming soon, while Integritee governance is on-chain
Launch Date
The Robonomics launch date is unknown, while Integritee was launched on Mar 21, 2022
Other Comparisons
Robonomics Comparisons
- Robonomics vs Acala
- Robonomics vs Ajuna Network
- Robonomics vs Astar
- Robonomics vs Bifrost
- Robonomics vs Crust
- Robonomics vs Frequency
- Robonomics vs Hydration
- Robonomics vs Litentry
- Robonomics vs Mythos
- Robonomics vs Moonbeam
- Robonomics vs NeuroWeb
- Robonomics vs peaq
- Robonomics vs Pendulum
- Robonomics vs Phala Network
- Robonomics vs Robonomics
- Robonomics vs Polkadot
- Robonomics vs Zeitgeist
Integritee Comparisons
About Blockchains
About Robonomics
The creation and development of a platform that provides tools for working with the robot economy network (briefly - the Robonomics platform) will allow designers of new cities and industrial zones to build trust among the autonomous robots services, provide direct user access for ordering products from autonomous factories and services of urban sensor networks. This in turn will allow us to put in place a decentralized system that globally monitors the activities of cyber physical systems.
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.