
Throughput is a metric for a blockchain network's transaction processing capacity, typically measured in transactions per second (TPS). As one of the key performance indicators for blockchain systems, throughput directly impacts user experience, application suitability, and overall network efficiency. Throughout the development of cryptocurrencies and blockchain technology, improving throughput has been a major driver of technical innovation, especially for projects aiming for large-scale commercial adoption.
The concept of throughput originated in traditional computer science and network engineering, used to measure the amount of work a system can process in a given time period. After the rise of blockchain technology, throughput gradually became a core metric for evaluating blockchain network performance, particularly as early blockchains like Bitcoin faced serious scalability issues.
Bitcoin's network throughput is approximately 7 TPS, while Ethereum manages 15-30 TPS, which falls far short compared to traditional financial systems like Visa (capable of 24,000+ TPS). This performance limitation has driven the development of numerous technical solutions to increase blockchain throughput, including changes to consensus mechanisms, implementing sharding techniques, and developing off-chain scaling solutions.
In recent years, many next-generation blockchain projects such as Solana and Avalanche have positioned high throughput as their core competitive advantage, attempting to solve blockchain's scalability problems through innovative architectural designs and algorithmic improvements.
Blockchain throughput is influenced by several key factors:
Block size: Larger blocks can accommodate more transactions but increase network propagation time and storage requirements.
Block time: Faster block production can improve throughput but may increase the risk of forks.
Consensus mechanism: Proof of Stake (PoS) and similar mechanisms typically offer higher throughput than Proof of Work (PoW).
Network connectivity: Latency between nodes limits information propagation speed, affecting throughput.
Transaction verification efficiency: Optimizing validation algorithms can increase transaction processing speed.
Major technical approaches to improving throughput include:
On-chain scaling: Increasing block size, reducing block production time, optimizing consensus algorithms.
Sharding: Partitioning the network into multiple subnetworks that process transactions in parallel.
Layer 2 solutions: Lightning Network, sidechains, state channels, etc., which move some transaction processing off the main chain.
Cross-chain protocols: Allowing multiple blockchain networks to work together, sharing transaction load.
Key challenges when pursuing high throughput:
Decentralization and security trade-offs: High-throughput solutions often require sacrificing some degree of decentralization or security, creating the famous "blockchain trilemma."
Increased hardware requirements: High-throughput systems may require more powerful node equipment, raising the barrier to network participation.
Data storage pressure: Processing more transactions means faster blockchain data growth, challenging full node maintenance.
Network congestion risk: Even with high-throughput designs, sudden transaction spikes can still cause network congestion.
Sustainability issues: Some high-throughput solutions may rely on centralized components or temporary compromises that aren't sustainable long-term.
Protocol complexity: Technical solutions to increase throughput typically add system complexity, potentially introducing new security vulnerabilities.
Throughput requirements vary greatly across different use cases—payment systems need high throughput, while value storage or security-sensitive applications might prioritize security over throughput.
Throughput remains one of the key bottlenecks for blockchain technology to achieve mainstream adoption. As technology continues to evolve, increasingly innovative solutions are breaking through the performance limitations of traditional blockchains, but this process requires careful balancing of security, decentralization, and performance. High throughput is crucial for blockchains to support large-scale commercial applications, but the ultimate solution may not be a single technical approach but rather an appropriate combination of technologies chosen for specific use cases.


