Real-time TPS
Ajuna TPS is coming soon, while Avalanche TPS is 16.96 tx/s
Max TPS (100 blocks)
Ajuna max TPS is coming soon, while Avalanche max TPS is 122.7 tx/s
Max Theoretical TPS
Ajuna max theoretical TPS is coming soon, while Avalanche max theoretical TPS is 1,191 tx/s
Transaction Volume
Ajuna transaction volume is coming soon, while Avalanche transaction volume is 61,049 txns
Block Time
Ajuna block time is coming soon, while Avalanche block time is 1.41s
Finality
Ajuna finality is coming soon, while Avalanche finality is 0s
Nakamoto Coefficient
Ajuna and Avalanche nakamoto coefficient are both coming soon
Active Addresses
Ajuna and Avalanche active addresses are both coming soon
Governance
Ajuna governance is coming soon, while Avalanche governance is on-chain
Type
Ajuna type is unknown, while Avalanche is a layer 1 blockchain
Launch Date
The Ajuna launch date is unknown, while Avalanche was launched on Sep 21, 2020
Other Comparisons
Ajuna Comparisons
- Ajuna vs Acala
- Ajuna vs Ajuna
- Ajuna vs Astar
- Ajuna vs Bifrost
- Ajuna vs Crust
- Ajuna vs Frequency
- Ajuna vs Hydration
- Ajuna vs Integritee
- Ajuna vs Litentry
- Ajuna vs Mythos
- Ajuna vs Moonbeam
- Ajuna vs NeuroWeb
- Ajuna vs peaq
- Ajuna vs Pendulum
- Ajuna vs Phala Network
- Ajuna vs Robonomics
- Ajuna vs Polkadot Ecosystem
- Ajuna vs Zeitgeist
About Blockchains
About Ajuna
The Ajuna platform provides a simplified way for Unreal and Unity developers to build an incentive layer into their games using tokenized virtual goods. The partnership with Integritee will allow Ajuna to run entire gaming engines in trusted execution environments to create fast, secure, and scalable decentralized gaming ecosystems.
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.