RChain vs Nervos Network vs Seele
What problem does this service solve?
RChain is building a cross-chain DApp platform that hopes to improve scalablity and speed. | The Nervos Network's goal is to be multi-asset, store of value platform. | Seele wants to create a blockchain ecosystem comprised of subnets that operate independently, but will have cross-chain capabilities. |
Token Stats
Company Description
RChain is building a cross-chain blockchain platform that hopes to improve transaction speeds and scalability. RChain smart contracts are written in Rholang and are run concurrently on the Rho Virtual Machine. Rholang stands for reflective higher-order language, and supports internal concurrent programming to improve smart contract processing. | The Nervos Network is an open-source public blockchain ecosystem that is designed to secure multiple assets. Unlike other smart contract platforms that require users to pay transaction fees to help secure the underlying networks, the Nervos Network hopes to create an incentive system that will enable multiple assets to be secured regardless of their price volatility. It does this by capturing the total network value through its native coin the Nervos CKByte, which entitles holders to storage rights on the Nervos blockchain. The network uses a PoW consensus mechanism. | Seele is developing a blockchain ecosystem that will consist of subnets optimized for different use cases. Seele's Forest Network will have subnets that will operate independently and can interact with each other through cross-chain and cross-domain protocols. Seele has a neural consensus algorithm that was inspired by the inner workings of the human brain. It asynchronously processes and sorts data in a large-scale decentralized environment, using ε-differential agreements to allow all nodes within a network to reach consensus. Compared to existing consensus algorithms, it ensures greater fault-tolerance and is significantly more efficient. Its performance also scales linearly as network size increases, allowing it to be widely adaptable to many different use cases. |