The Battle of High-Performance Public Chains: Comparison and Future Prospects between MegaETH and Monad

- The goals are different: MegaETH aims for the Highest performance; Monad aims to achieve maximum performance with minimal hardware requirements while ensuring decentralization as much as possible.
- Different architectures: Based on the above goals, MegaETH conducted research on all current Layer1 and Layer2, and finally found that it is impossible to achieve ultimate high performance and achieve a balance between performance and decentralization in Layer1. It works, so MegaETH is built on ETH Layer2 and partially optimized ; while Monad resolutely chooses to maximize decentralization, making a Layer1 and optimizing it in different structural levels such as database, efficiency, execution, and algorithm.
- Real-time EVM Engine: MegaETH introduces the first real-time EVM execution engine, which can quickly process a large number of transactions when they arrive and reliably publish state changes (state diff) in as little as 10 milliseconds.
- Smart contract real-time compile: Using just-in-time compile (JIT) technology, smart contracts are dynamically converted into native machine code, eliminating the inefficient process of interpreting EVM bytecode. This technology can improve the performance of computationally intensive applications by up to 100 times and is suitable for building complex DApps with high real-time performance requirements.
- State Tree Improvement: MegaETH replaces the traditional Merkle Patricia Trie (MPT) with a new state tree, greatly reducing disk I/O operations and solving performance bottlenecks in state tree maintenance. This new design not only maintains EVM compatibility, but also efficiently scales to TB-level state data.
- State Synchronization Protocol: MegaETH uses an efficient peer-to-peer protocol to propagate state updates from the sorter to the full node with low latency and high throughput. Even nodes with poor network connections can maintain the latest state synchronization at an update rate of 100,000 TPS.
- Node specialization: effectively allocate hardware resources, reduce the pressure on individual nodes, and lower the hardware access threshold.
- Relying on the security and censorship resistance of Ethereum Layer1: MegaETH maintains the decentralization and censorship resistance of Ethereum, while focusing on the Performance optimization of Layer2, achieving a balance between performance and security.
- Emphasize developer experience: Encourage developers to participate in ecosystem construction through various tools and ecosystem plans, and reduce user participation barriers.
- Parallel Execution: The original transaction execution was to execute the next transaction after completing a complete transaction. Monad achieves parallel processing by dividing tasks into a series of smaller tasks that can be processed in parallel , and can also solve the problems of state storage, transaction processing, and distributed consensus in the transaction processing process. As shown in the figure below, when washing four clothes, the simplest strategy is to wash, dry, fold, and store the first clothes first, and then start the second clothes. Monad's parallel mechanism starts washing the second clothes when the first clothes enter the dryer.
- MonadBFT: Simply put, it is the consensus mechanism for parallel execution mentioned above, which is more efficient than the traditional Byzantine consensus mechanism.
- Delayed execution: ** The traditional transaction on-chain process is as follows: 1) The node executes the transaction first, and 2) The verification node consensus on the transaction on-chain. The performance bottleneck in this process mainly lies in the execution part. Delayed execution can verify and execute the transaction within a certain time range, greatly improving the efficiency of transaction on-chain.
- MonadDB innovates the database used by most Ethereum clients to improve state access efficiency and better support parallel execution of transactions.
- Breaking through the bottleneck of Ethereum architecture: Monad is not limited by the original design of Ethereum, and can perform underlying optimization while maintaining EVM compatibility, so that consumer-grade hardware can also participate in the network.
- EVM compatibility: Monad can directly leverage the existing EVM ecosystem to help developers migrate and build DApps more easily.
- The community has a high active level: Monad has accumulated a group of loyal community users, and a good community culture provides a solid foundation for ecological development
Disclaimer: The content of this article solely reflects the author's opinion and does not represent the platform in any capacity. This article is not intended to serve as a reference for making investment decisions.
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