CoinMetrics: Layer 1 blockchain ecosystem data perspective

This article is machine translated
Show original

Author: Matías Andrade & Tanay Ved Source: coinmetrics Translation: Shan Ouba, Jinse Finance

Key points:

  • Innovation happening on layer-1 platforms is heating up, and the changes it brings require us to use data to compare and contrast the different capabilities and trade-offs offered by these different L1s.

  • Bitcoin is in the process of transitioning from a specialized chain that primarily serves as a settlement layer to a more general platform that leverages the security of its second-layer capabilities.

  • With the recent Dencun upgrade, Ethereum is moving towards a modular blockchain architecture that utilizes specialized layers to implement its functions, highlighting the difference between a monolithic network and a modular network.

introduce

Innovation in the digital asset space seems to be heating up again as old paradigms are abandoned and new horizons are realized. Bitcoin is evolving from a specialized chain whose primary purpose is to serve as a transaction settlement layer to a more general platform that leverages its extraordinary security to serve layer 2 functions. Similarly, with the recent Dencun upgrade, Ethereum is moving towards a modular blockchain architecture with specialized layers to handle its functions. We are also witnessing the birth of new layer-1 blockchains like Aptos, which utilizes different virtual machines, and other blockchains like Monad, which brings parallel execution capabilities to the EVM.

In this episode of Coin Metrics’ State of the Network, we explore the diverse landscape of layer-one blockchain networks and understand their impact on the broader crypto ecosystem.

What constitutes Layer-1?

In the crypto ecosystem, Layer-1 (or L1) is the base layer or foundational blockchain network on which other layers and applications are built. L1 blockchain networks are independent, decentralized ledgers that operate independently and establish their own consensus, transaction validation, and data storage rules. These networks act as infrastructure and provide the basic functionality required to develop and deploy decentralized applications (dApps) and other blockchain-based solutions. Many first layers have emerged in past cycles, each gaining varying degrees of traction and maturity.

2NlHrXmt2EDi1ja15MheVkIIFjXU4JAQb9tqY5vh.png

Types of Layer 1 Blockchains

While all L1 networks share the essential characteristics of decentralization and protection of their respective ecosystems, they can be broadly categorized into two types: purpose-built networks and general-purpose platforms.

Specialized Networks: These L1s are primarily designed to facilitate secure peer-to-peer transactions and serve as a strong settlement layer. Examples include Bitcoin, Litecoin, and Dogecoin. While they may not directly support complex smart contracts or decentralized applications, their primary purpose is to provide reliable and trustless value transfer using strong security guarantees and decentralization, even through protocols such as Omni or as L2s or rollups built on top.

General Platforms: These L1s are designed as programmable platforms that can support a variety of decentralized applications and smart contracts. Examples include Ethereum, Tron, Solana, Avalanche, etc. These networks generally prioritize features such as programmability, scalability, and interoperability to support the development and deployment of a variety of decentralized solutions, including decentralized exchanges, lending protocols as part of DeFi, etc.
-1 Can be further categorized based on their architectural differences or approaches to core blockchain functionality, including execution, consensus, and settlement.

QjWPEmxmhcUMDZBcXcRrUq4saEwrFm99A10SCwvX.png

Monolithic: This includes L1, such as Bitcoin and Solana , which handle the execution and settlement of transactions and the maintenance of consensus within a single layer.
Modular: This includes L1s like Avalanche , Cosmos , and most recently Ethereum , with its rollup-centric roadmap. Modular blockchains separate these functions into different specialized layers. While these categories provide a high-level overview, understanding the nuances and trade-offs between these L1 network categories is critical to understanding the broader dynamics and potential as the decentralized ecosystem evolves. To gain a deeper understanding of Layer-1, we will take a data-driven look at how these networks span different approaches and provide innovative solutions to the fundamental problems that decentralized networks bring.

Network performance

The performance of an L1 blockchain can be affected by a variety of technical factors, such as consensus mechanisms, block size (the amount of data that can fit in a block), and block time (the time it takes to add a new block to the blockchain), to name a few. These factors can directly impact L1’s transaction speed and network throughput, and thus the blockchain’s user experience. Due to L1’s unique design choices and architectural tradeoffs, these metrics cannot be used as a direct comparison, but rather as a means to understand their technical differences.

WlQfhNZrNnx6hel39iwMZM6sBdAABUzJOJ5Zfe7b.png

As shown by Solana (around 0.4 seconds) and Avalanche C-Chain (2 seconds), a shorter average block time allows incoming transactions to be executed faster. This is especially beneficial for high-frequency trading, such as financial transactions on applications such as decentralized exchanges (DEX), microtransactions, or game-related interactions where speed is critical. In addition, AVAX-C and Ethereum also have constant block times, which makes the distribution around the average very tight (some outliers come from missed blocks). On the other hand, Bitcoin and Litecoin have longer average block times (~10 minutes for Bitcoin and ~2.5 minutes for Litecoin), which prioritizes network security over transaction speed.

2bvPuFE5cy95gYKTDA3XY8xoysEOtoR0edVgKPSb.png

The same relationship can be understood as a trade-off between the ease of participating in the consensus process and the performance of the underlying network. This is evident when we consider the size of a blockchain as a function of the size and creation rate of new blocks. Blockchains with longer block times and “smaller” blocks, such as Bitcoin, are easier to sync as a standalone node operator. Compared to Ethereum, the requirements are higher because the network performance requirements of faster block inclusion add up to larger download sizes and require higher performance computers and network infrastructure to maintain comparable oversight of the network.

Cost and Economy

The primary product of a layer 1 blockchain is blockspace. Users and applications access this valuable resource by paying fees, typically in the network’s native token (i.e. ETH on Ethereum). These transaction fees serve two important purposes: first, they disincentivize network spam, and second, they serve as a subsidy or compensation for the miners/validators responsible for building blocks. However, the specific structure of the fee market can vary between different L1s. While some blockchains, such as Ethereum, employ an auction-based model where users bid for blockspace, others, such as Solana, use a more static fee structure based on data size and computation required. These changes in fee structures mean that L1s react differently to changes in demand, impacting the user experience of transacting on the blockchain.

gW7pzHkmWQOSjkdYM0vwNCNLU86k82C7RFescTOm.png

Solana’s transaction fees are the lowest among the L1s shown in the above chart. Although the average fee has recently risen to about $0.059 due to increased congestion, its low fees make it one of the cheapest blockchains to transact. The Avalanche X chain, which is responsible for AVAX transfers, and the Avalanche C chain where the smart contracts are located, also have relatively low fees. Avalanche’s fee mechanism is similar to Ethereum’s EIP-1559, with dynamic base fees and priority fees that fluctuate based on the utilization of block space.
On the other hand, users on Ethereum have been struggling with high transaction fees before the Dencun upgrade, which introduced an adjacent fee mechanism to price the use of blobspace. Although the average fee on Ethereum L1 is still relatively high (about $3), the fees on Ethereum Layer-2 solutions are effectively cost-free. The average fee on Bitcoin is usually between $1 and $4. However, on the day of the fourth halving , the average fee soared to $124 due to a surge in demand for newly released "Runes" protocols in the same block as the halving event.

Adoption and usage indicators

Now that we have a high-level understanding of the technical capabilities and fee structures of the various L1s, we can dive deeper into how they compare in terms of adoption and usage metrics. Active addresses (the number of unique addresses active in the network) for Bitcoin and Ethereum L1s have remained relatively flat at around 800K and 600K, respectively. Active address counts can be misleading due to the presence of externally owned accounts (EOAs) and program-derived accounts (PDAs) on Solana. However, unique wallets on Solana rose to 1.2M in March before tapering off to around 900K. Other L1s, such as Avalanche and Cardano, also saw spikes but failed to sustain high levels of activity.

7vmQ12FWyzBSTp1em4E6Xy7bJqPhxAD0ZSjrM6Dr.png

As stablecoins begin to proliferate across various L1s, the value transferred within each stablecoin provides an important proxy for its usage on these blockchains. Tether (USDT) maintains a strong footing on Tron due to its low fees and favorability for emerging markets, with an adjusted transfer value of $14B and a median transfer value of $312 USD.

UzFYLAJ9LJ6sEwf60T7e9lh1LA4W4zRNygWiwJeg.png

Next on Ethereum are USDC and USDT, which currently show a transfer value of about $6B, with median transfers of about $800 and $1,000, respectively. With the re-emergence of the Solana ecosystem, USDC has also gained traction on the blockchain, with an adjusted transfer value of $3B. Due to low fees, stablecoins on Solana have the lowest median transfer value, at $20 for USDC and $75 for USDT.

Adoption and usage metrics provide insight into the appeal of different L1 networks. The number of active addresses for Bitcoin and Ethereum L1s remained relatively stable, while Solana saw growth in unique wallets. Stablecoins such as Tether (USDT) and USDC have gained significant traction on various L1s, with Tron leading the way in USDT usage due to its low fees and appeal to emerging markets.

in conclusion

The landscape of layer 1 blockchain networks has significant implications for the broader crypto ecosystem. As we’ve seen, L1 networks can be categorized based on their specialization (transaction settlement vs. general-purpose platform) and their architectural approach (monolithic vs. modular). These differences lead to variations in network performance, fee structures, and adoption metrics.

As the crypto ecosystem continues to evolve, understanding the nuances and trade-offs between different L1 networks is critical to understanding the broader dynamics and potential of the decentralized ecosystem. The emergence of new L1s and the evolution of existing networks highlight the continued innovation and competition in the space, ultimately benefiting users and driving growth in the decentralized economy.

Source
Disclaimer: The content above is only the author's opinion which does not represent any position of Followin, and is not intended as, and shall not be understood or construed as, investment advice from Followin.
Like
Add to Favorites
Comments