L1 comparison

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Revision as of 09:15, 14 December 2022 by Ais (talk | contribs)
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To get a view of the top performers in the blockchain industry, it's useful to compare across common metrics. Here we build a table that does such a comparison. All data correct as of December 2022.

Metrics explanations and references are given below.

L1 Comparisons
Metrics / L1 ICP ADA AVAX ALGO ETH NEAR SOL
Average TPS 9’720 2.37 49.52 15.5 11.1 6 3000+ (381 excluding votes)
Finality 1-2secs 5-10mins 2.3secs 3.5secs 15mins 2.4secs 5-12.8secs
Tx Cost 0.0004 0.33 0.01 0.0003 0.57 0.0002 0.00025
Fixed tx cost Yes no no no no no no
Energy Consumption 0.008 51.59 4.76 2.7 0.166
On-Chain Storage $5 (3.95T cycles x 1XDR) $17,035 - $113,507 (53,236 – 354708ADA) $206,875 (15,62 5AVAX) 15,494,409 (12,643.75 ETH) 48,625 (3,477.69 SOL)
Nodes / Validators 549 1050 1195 1530 798 1872
Nakamoto coefficient 22
repos, DAOs, dapps, tokens full web3 nft & defi y y
Safety threshold 51%
Burnt fees 443ICP 2,047,382.09AVAX
Max stack size 4 GiB 4 MB 32 KiB 256 KiB
Max persisted memory 52 GiB 1 MB 2^261 B (however, 15,494,409$ per GiB) 32 KiB

Metrics

  • TPS measures the transactions processed per second - note that the interval over which these are measured does vary across chains.
  • Finality measures the time taken for a block to be finalised
  • Tx Cost measures the cost of a transaction
  • Energy Consumption measures the energy consumption
  • On-Chain Storage measures the cost of storing data on-chain
  • Nodes/Validators measures the number of nodes
  • Nakamoto Coefficient is the count of malicious nodes needed to collude to prevent a blockchain from functioning properly
  • Market Cap is the price of the coin times the number of coins
  • Price denotes the dollar price of the coin
  • Circulating Supply is the count of coins in circulation
  • Volume is the amount transferred in a given period
  • Users counts the users on the network
  • Repos, DAOs, Dapps, Tokens showcases the leading applications supported by the network
  • Safety Threshold is the assumption underlying the safety property of a blockchain
  • Burnt Fees counts the amount of tokens burnt by fees

References