Robonomics vs Avalanche
Robonomics vs Avalanche Scalability
Real-time TPS
Robonomics has no data, while Avalanche TPS is 15.8 tx/s
Max TPS (100 blocks)
Robonomics has no data, while Avalanche max TPS is 122.7 tx/s
Max Theoretical TPS
Robonomics has no data, while Avalanche max theoretical TPS is 1,191 tx/s
Transaction Volume
Robonomics has no data, while Avalanche transaction volume is 56,869 txns
Block Time
Robonomics has no data, while Avalanche block time is 1.38s
Finality
Robonomics has no data, while Avalanche finality is 2s
Type
Robonomics has no data, while Avalanche is a layer 1 blockchain
Launch Date
Robonomics has no data, while Avalanche was launched on Sep 21, 2020
Robonomics vs Avalanche Decentralization New
Nakamoto Coefficient
Robonomics has no data, while Avalanche Nakamoto Coefficient is 29
Validators/Miners
Robonomics has no data, while Avalanche has 936 validators
Stake/Hashrate
Robonomics has no data, while Avalanche stake is $5.206B
Consensus Mechanism
Robonomics has no data, while Avalanche is PoS
Governance
Robonomics has no data, while Avalanche governance is on-chain
Other Comparisons
Robonomics 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 Avalanche
Avalanche emerges as a rapid, scalable blockchain platform facilitating the seamless creation and deployment of dApps. Distinguished by its unique consensus mechanism, it's particularly good for DeFi applications, allowing high throughput and nearly instant finality. Its architecture allows for a network of interconnected blockchains, each safeguarded by dynamic subsets of validators, ensuring scalability while maintaining speed, reliability, and security.