Hi all. In this post, I am going to share a comparison between blockchain technologies used to create different applications nowadays. This will be an analysis which technology is better to solve different issues.
Firstly I should mention what the blockchain is, but I think if you came to see the comparison of blockchain technologies, you already on the higher level of knowledge in this area.
I am not going to describe here in detail all information about specific blockchain technology. I will try to dig deeper later on, and link the posts here.
Blockchain | Model | Consensus Mechanism | Programming Language | Transaction Speed | Transaction Fees | Key Features | Use Case |
Ethereum | Account-Based | Proof of Stake (PoS) | Solidity, Vyper | 15-30 TPS | High | Largest dApp ecosystem, EVM compatibility, DeFi leader | DeFi, NFTs, DAOs, gaming |
Binance Smart Chain (BSC) | Account-Based | Proof of Staked Authority (PoSA) | Solidity | 100-200 TPS | Low | Ethereum-compatible, low fees, large user base | DeFi, yield farming, NFTs |
Polygon | Account-Based | Proof of Stake (PoS) | Solidity | ~7,000 TPS | Very Low | Layer-2 for Ethereum, scalability solutions, EVM compatible | Gaming, DeFi, NFTs, metaverse |
Solana | Account-Based | Proof of History (PoH) | Rust, C, C++ | ~65,000 TPS | Very Low | High throughput, low latency, scalable | Gaming, high-frequency trading, NFTs |
Avalanche | Account-Based | Avalanche Consensus | Solidity | ~4,500 TPS | Low | Customizable subnets, EVM compatible | Enterprise apps, DeFi, NFTs |
Cardano | Extended UTXO (EUTXO) | Proof of Stake (PoS) | Marlowe, Plutus, Haskell | ~250 TPS | Low | Environmentally sustainable, secure, peer-reviewed | Identity solutions, DeFi |
Tezos | Account-Based | Liquid Proof of Stake (LPoS) | Michelson, Ligo | ~40 TPS | Low | On-chain governance, formal verification for security | Art NFTs, asset tokenization |
Polkadot | Account-Based | Nominated Proof of Stake (NPoS) | Rust, Substrate Framework | ~1,000 TPS (per parachain) | Low | Interoperability through parachains, modular blockchain framework | Cross-chain apps, DeFi |
Cosmos | Account-Based | Tendermint BFT | Go | ~10,000 TPS | Low | Interoperability through parachains, modular blockchain framework | Interoperable apps, DEXs |
Algorand | Account-Based | Pure Proof of Stake (PPoS) | TEAL, PyTeal | ~6,000 TPS | Low | Low energy consumption, fast finality | Financial apps, tokenized assets |
Near Protocol | Account-Based | Sharded Proof of Stake (PoS) | Rust, AssemblyScript | ~100,000 TPS | Low | Nightshade sharding, developer-friendly | Consumer dApps, gaming, identity |
Tron | Account-Based | Delegated Proof of Stake (DPoS) | Solidity | ~2,000 TPS | Very Low | High throughput, decentralized file sharing focus | Media platforms, gaming, DeFi |
Hedera Hashgraph | Account-Based | Hashgraph Consensus | Solidity | ~10,000 TPS | Very Low | Energy-efficient, enterprise-focused | Enterprise apps, supply chain |
Fantom | Account-Based | Asynchronous Byzantine Fault Tolerance (aBFT) | Solidity | ~300,000 TPS | Very Low | High speed and scalability, DAG architecture | DeFi, payments, staking |
Bitcoin SV (BSV) | UTXO-Based | Proof of Work (PoW) | sCrypt, Bitcoin Script | ~50,000 TPS (theoretical) (1M TPS on test network) | Low | Large blocks for scaling, focused on data storage | Payment solutions, enterprise apps |
Consensus protocols
Proof of Stake (PoS)
- How It Works: Validators are chosen to create new blocks and validate transactions based on the amount of cryptocurrency they hold and are willing to “stake” as collateral.
- Pros:
- Energy-efficient compared to Proof of Work (PoW).
- Reduces centralization risks associated with mining pools.
- Cons:
- Initial wealth disparity can lead to centralization.
- Less battle-tested than PoW.
Proof of Work (PoW)
- How It Works: Miners compete to solve cryptographic puzzles to add new blocks. The first to solve it gets a reward.
- Pros:
- Highly secure and resistant to certain types of attacks.
- Decentralized, as anyone can participate in mining.
- Cons:
- Extremely energy-intensive.
- Slower transaction speeds and scalability challenges.
Proof of History (PoH)
- How It Works: Used in conjunction with Proof of Stake in Solana, PoH establishes a historical record to prove events occurred at a specific time.
- Pros:
- Ultra-fast transaction validation.
- Scalable for high-performance applications.
- Cons:
- Complex implementation.
- Less decentralized than traditional PoW or PoS systems.
Proof of Staked Authority (PoSA)
- How It Works: Combines Proof of Stake and Proof of Authority, where a small number of validators are selected to validate transactions.
- Pros:
- High speed and low costs.
- Suitable for enterprise use cases.
- Cons:
- More centralized due to reliance on selected validators.
Nominated Proof of Stake (NPoS)
- How It Works: Users (nominators) select validators they trust, and these validators secure the network.
- Pros:
- Enhanced decentralization compared to traditional PoS.
- Encourages community participation.
- Cons:
- Complexity in managing nominations.
- Validators’ misbehavior can impact nominators.
Liquid Proof of Stake (LPoS)
- How It Works: A variant of PoS where token holders can delegate their stake to validators.
- Pros:
- Flexible and inclusive for token holders.
- Maintains decentralization and security.
- Cons:
- Delegation can lead to concentration of power.
Pure Proof of Stake (PPoS)
- How It Works: Randomly selects validators based on their stake, ensuring fairness and reducing energy consumption.
- Pros:
- Fair and efficient.
- Environmentally sustainable.
- Cons:
- Requires robust randomness for validator selection.
- Limited adoption outside Algorand.
Hashgraph Consensus
- How It Works: Uses a gossip protocol and virtual voting to reach consensus quickly without the need for mining or staking.
- Pros:
- Extremely fast and energy-efficient.
- High throughput and low latency.
- Cons:
- Not entirely decentralized (permissioned governance).
Asynchronous Byzantine Fault Tolerance (aBFT)
- How It Works: Transactions are confirmed once a supermajority of nodes agree, without needing synchronization.
- Pros:
- Extremely fast and highly scalable.
- Fault-tolerant and secure against Byzantine attacks.
- Cons:
- Complex to implement.
- Fewer nodes participating can reduce decentralization.
Models
Account-Based
- How It Works: Balances and transaction histories are associated with individual accounts, much like a ledger in a bank.
- Used By: Ethereum, Binance Smart Chain, Solana, Avalanche, etc.
- Pros:
- Simplifies smart contract interactions (e.g., transferring tokens between accounts).
- Easier for developers to conceptualize and work with.
- Cons:
- Requires more storage as accounts grow in complexity.
- Higher risk of state bloat, which can slow down the network over time.
UTXO (Unspent Transaction Output)
- How It Works: Tracks unspent outputs from transactions. Each transaction consumes UTXOs as inputs and produces new UTXOs as outputs.
- Used By: Bitcoin, Bitcoin SV.
- Pros:
- Highly efficient for transaction verification.
- Stateless: The blockchain doesn’t need to track all account balances.
- Naturally parallelizable for increased scalability.
- Cons:
- Smart contract functionality is more challenging to implement directly.
- Managing UTXOs can be conceptually harder for developers used to account-based models.
3. Extended UTXO (EUTXO)
- How It Works: Extends the UTXO model by adding support for more sophisticated smart contracts and state management.
- Used By: Cardano.
- Pros:
- Deterministic: Ensures predictable execution of smart contracts.
- Scalable: Transactions can be processed in parallel.
- Inherits security and efficiency from UTXO.
- Cons:
- More complex for developers to adopt initially.
- Requires new tools and paradigms, diverging from account-based standards.
Summary
As I mentioned, I am going to update this post continuously so probably this what you have just read is not finished post, but nevertheless thanks for reading it 🙂