Throughput
Sovereign Assets • Layer 1s • Payment Networks
transaction processing capacity
Throughput refers to the number of transactions, operations, or data packets a blockchain network, protocol, or application can process within a specific time frame—typically measured in transactions per second (TPS). High throughput is essential for scalability, as it determines how many users and applications a network can support without congestion, delays, or high fees. Throughput is affected by block size, block time, consensus mechanism, and the implementation of scaling solutions like Layer 2 protocols and rollups.
Use Case: Ethereum’s native throughput is limited to around 15 TPS, but Layer 2 solutions like Arbitrum or Optimism increase effective throughput to thousands of TPS, enabling high-volume DeFi and gaming apps to operate smoothly.
Key Concepts:
- Layer One Protocol — The base chain whose design sets foundational throughput limits
- Layer Two Protocol — Scaling networks that boost throughput by processing transactions off-chain
- Rollups — Bundle many transactions, dramatically increasing TPS while leveraging Layer 1 security
- Sidechains — Independent networks that add parallel throughput to main chains
- Settlement Finality — The point at which increased throughput still guarantees irreversible transaction completion
- Scalability — The broader goal that throughput optimization serves
- Consensus Mechanism — Protocol design that fundamentally determines TPS limits
- Gas Price — Cost indicator that rises when throughput is exceeded
Summary: Throughput measures a network’s capacity for handling activity at scale. High throughput is vital for global adoption of blockchain applications, reducing congestion, and lowering transaction costs as Web3 grows.
Network Throughput Comparison
TPS across major blockchain ecosystems
Throughput Factors Framework
what determines transaction capacity
• Block Size: Larger = more txs
• Block Time: Faster = more TPS
• Gas Limit: Higher = more compute
Trade-off: Bigger blocks require more resources to validate
• PoW: Slow, secure (~7-15 TPS)
• PoS: Faster (~100-1000 TPS)
• DPoS: Very fast (~1000+ TPS)
Trade-off: Speed often sacrifices decentralization
• L2 Rollups: Batch off-chain
• Sidechains: Parallel processing
• Sharding: Split workload
Trade-off: Complexity, bridging risks
Throughput Evaluation Checklist
choosing networks for your use case
☐ High-frequency trading → High TPS needed
☐ Store of value → TPS less critical
☐ Gaming/NFTs → Moderate-high TPS
☐ DeFi swaps → Depends on volume
☐ Payments → Fast finality priority
☐ Enterprise → Predictable throughput
☐ Claimed TPS vs. actual sustained TPS
☐ Performance during congestion spikes
☐ Historical uptime record
☐ Finality time acceptable for use
☐ Fee behavior when throughput maxed
☐ Scaling roadmap credibility
Capital Rotation Map (Crypto Cycle Flow)
throughput demands across rotation phases
Phase 1
Low TPS Sufficient
Phase 2
L2s Activate
Phase 3
Multi-Chain Spread
Phase 4
Congestion Begins
Phase 5
Networks Saturate
Phase 6
Activity Collapses