Chain Comparison: Throughput, Fees, Finality, Node Requirements

Entry last verified July 2026. Absolute figures age quickly; the method does not.

The parameters

Throughput. Transactions per second. The most quoted and least informative figure, because it is a design choice rather than an achievement and can be raised by accepting higher node requirements.

Fee. Cost of a standard operation. Must be measured at multiple times of day, over weeks, and converted to currency at the moment of sampling.

Finality. Time until reversal becomes infeasible. Determines how long a recipient should wait.

Node requirements. Storage, bandwidth and hardware needed to validate independently. The parameter that determines how many independent parties can verify, and the one absent from every marketing comparison.

Why throughput comparisons mislead

Peak throughput under laboratory conditions is not sustained throughput under real load with real state growth.

Published figures are frequently theoretical maxima. Observed median throughput, computable from block data, is usually a fraction of the claim, because blocks are not full most of the time.

The honest version of this metric is observed transactions per second at the network’s busiest sustained hour, which is computable from public data and rarely published.

The comparison template

Chain	Observed TPS, busy hour	Median transfer fee	Finality	Full node storage	Independent validators

The last two columns are the ones that determine what the chain actually guarantees, and they are the two that require effort to obtain.

Sources for each column

Throughput. Block data, computed over a chosen window. Several explorers publish historical charts.

Fees. Sample at fixed times over at least four weeks. Convert at the rate at each sample.

Finality. Protocol documentation states the rule. Exchange confirmation requirements are a practical cross-check on how much assurance the market actually demands.

Node requirements. Client documentation states minimums. Community trackers publish observed sync times and storage growth, which are more honest than stated minimums.

Validator distribution. Requires mapping validators to operating entities, which is the hardest and most informative step.

The trade-off that every chain makes

Higher throughput is purchased with either larger blocks, shorter block times, or a smaller validator set. Each of those raises node requirements or reduces the number of independent verifiers.

There is no design that escapes this. A chain claiming very high throughput with negligible node requirements and thousands of independent validators is misreporting at least one of the three.

What this means for a holder

For holding value, node requirements and validator distribution matter more than throughput, because they determine how hard the chain is to capture.

For using an application, fee and finality matter more.

For moving between chains and ordinary currency, the relevant question is narrower still: which networks a venue supports for deposits and withdrawals of the asset, and what it charges for each. That is published by platforms including a regulated European platform and frequently differs from what the chain’s own documentation would suggest is practical.