This one simple concept is what separates future-proof crypto projects from shitcoins.
Updated Aug 11, 2022
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“You can have it good, fast or cheap. Pick any two.”
This so-called Project Management Triangle refers to the unavoidable trade-off engineers have to make during the development process.
Now the key to solving the Project Management Triangle is prioritization. In other words, what matters most to you and your users? Turns out, crypto developers have their own version of the Project Management Triangle called the Blockchain Trilemma.
But why should you care? Well, the way each project goes about solving the Blockchain Trilemma will determine whether:
A blockchain project that can do all three of those things will have found the holy grail of crypto: a lasting solution to the Blockchain Trilemma. In this article, we’ll explore the root of the problem, how Layer 1 and Layer 2 solutions are trying to solve the trilemma, and how five of the top blockchain projects stack up in that regard.
To understand the Blockchain Trilemma, we first have to understand the differences between centralized and decentralized networks.
A centralized network is a group of interconnected computers (i.e. nodes) that depend on one master node to store and process data. Most of the web apps we use today, like Google, YouTube and Facebook, are built as centralized networks that serve content to end-user devices.
There's a good reason for that too. Centralized networks are:
But on the flipside, centralized networks are also:
Distributed networks, on the other hand, consist of interconnected nodes that share the workload. These nodes are often spread out across the globe but might still follow some kind of leadership hierarchy. Hence, distributed networks still allow for partial centralization.
The internet is the largest example of a distributed network, consisting of internet service providers (ISPs) that are privately owned (centralized) by large corporations.
A decentralized network takes the idea of distributed networks one step further by removing all forms of centralized leadership (in theory). To make the whole system work, nodes have to agree (i.e. reach a consensus) on what records are valid. The particular method they use to make decisions is called a consensus mechanism.
In doing so, decentralized networks are:
But decentralized networks do have their trade-offs, like:
While there are many unique challenges to running decentralized networks, most of them can be grouped into 3 categories that make up the blockchain trilemma.
The blockchain trilemma is a framework that says that every public blockchain has to sacrifice one of three features: decentralization, security, or scalability. Let’s dive into each.
One key thing is required for decentralization: a large number of independent nodes distributed across the globe. But here’s the kicker. Since every single node has to reach consensus before a transaction is finalized, becoming more decentralized actually slows down a network. And that’s not good for global adoption.
Now to make a network faster, you actually want to reduce the total number or distance between nodes. But that raises the issue of security.
For a distributed network to reach consensus, a majority (51%) of nodes have to agree. So the fewer nodes there are, the easier it becomes for hackers to take control of the network through a 51% attack and print infinite money for themselves (also called the double-spending problem).
A fork of the Ethereum network (ETH) called Ethereum Classic (ETC) actually suffered from 51% attacks multiple times in 2020, costing users millions of dollars. All because the network was too small and thus easy to control.
In addition to that, blockchain security requires each node to have skin in the game. In other words, it needs to cost them something to participate—for instance, computing power or financial collateral.
But why? Otherwise, malicious actors would carry out Sybil attacks, spamming a network with transactions until it crashes. Solana (SOL), for instance, was knocked offline on September 14, 2021, after hackers flooded the network with up to 400K transactions per second.
Okay so clearly decentralization and security are non-negotiable. But what does that mean for scalability, a blockchain’s ability to maintain or increase speed even as new users join the network?
For blockchains that don’t want to compromise on decentralization, that means slower transactions. Bitcoin, for instance, is only able to process 7 transactions per second (TPS). Blockchains like BNB, on the other hand, choose to be centralized for the sake of blazing-fast transaction speeds.
Scalability is ultimately necessary for blockchains to be able to rival legacy networks like Visa, which can process up to 65K transactions per second. So how are the leading blockchains aiming to scale?
Two of the most common buzzwords in crypto are Layer 1 and Layer 2 solutions. But what do they mean and why are they essential to blockchain scalability?
A Layer 1 solution is an attempt to change the internal rules of a major blockchain to make it faster and more efficient. Examples of layer 1 solutions include:
Ethereum’s upgrade to Proof-of-Stake (PoS) is one example of the latter solution. While Proof-of-Work (PoW) requires miners to use substantial computing power, PoS only requires validators to put up enough financial collateral to secure the network.
A Layer 2 solution is a third-party tool that connects to a major blockchain and takes some of the load off. And after layer 2 is done processing, it sends the results back to the main chain. Examples of Layer 2 solutions include the Lightning Network for Bitcoin and Polygon (MATIC) for Ethereum.
At the end of the day, layer 2 solutions allow major blockchains to have their cake (decentralization, security) and eat it too (scalability). Hell, projects like Ethereum and Cardano (ADA) combine both Layer 1 and 2 solutions to eke out every last drop of network performance.
Measuring how well each project solves the blockchain trilemma is a hard task. Even more so when comparing networks with different consensus mechanisms or definitions of what constitutes a transaction.
But trying to measure this is still necessary in order to know if a project has true staying power. And to make this more of an apples-to-apples comparison, we’ll only focus on Proof-of-Stake (PoS) smart contract platforms.
These two pillars of the Blockchain Trilemma can be measured by variables like:
| Ethereum (ETH) | Solana (SOL) | Cardano (ADA) | Terra (LUNA) | Avalanche (AVAX) |
---|---|---|---|---|---|
Total Stake | $33.9B | $40B | $24.12B | $27B | $21B |
Participation Rate | 9.12% | 74.71% | 71.92% | 42.39% | 67.63% |
Validator Count | 335K | 1,789 | 3,215 | 130 | 1,438 |
Validator Requirements | High | High | Low | Medium | Low |
Saturation Limit | No | No | Yes | No | No |
The key variables that determine blockchain scalability are:
| Ethereum (ETH) | Solana (SOL) | Cardano (ADA) | Terra (LUNA) | Avalanche (AVAX) |
---|---|---|---|---|---|
Block size | Around 1 MB | 10 MB | 80 KB | N/A | N/A |
Block time | 12-14s | 400 ms | 20s | 6-8s | 0.80s |
TPS | 11.67 | 1,212 | 250 | 1,000 (according to the founder) | 10.12 |
Average fee | $49.65 | $0.00025 | $0.47 | 0.6% of every tx | ~ 80 nAVAX |
Welp, that’s a wrap. In addition to giving you some tools to compare blockchain projects, here are a few takeaways and disclaimers: