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# Ethereum vs. Solana: A Technical Comparison of Smart Contract Development Transitioning from Ethereum to Solana involves more than just learning a new syntax; it requires a fundamental shift in your mental model of blockchain architecture. While both ecosystems allow developers to build decentralized applications, the underlying mechanisms for storage, execution, and deployment differ drastically. In this lesson, we break down the five critical differences between developing on Ethereum (and EVM-compatible chains) versus Solana. ## 1. Language and Compilation Standards The first barrier to entry for any developer is the programming language and the build environment. ### The Ethereum Ecosystem On Ethereum, smart contracts are primarily written in **Solidity** or **Vyper**. These languages are designed specifically for the blockchain and compile down to **EVM (Ethereum Virtual Machine) Bytecode**. If you are coming from a web2 background, Solidity’s syntax is Javascript-like, but its behavior is specific to the EVM. ### The Solana Ecosystem Solana development leverages general-purpose languages, most notably **Rust** (the focus of this course) and **Python**. * **Compilation:** Your Rust code does not compile to EVM bytecode; instead, it compiles to **SBF (Solana Bytecode Format)**. * **The Anchor Framework:** While you can write raw Solana programs, it is standard industry practice to use the **Anchor Framework**. Anchor abstracts away low-level complexities (serialization/deserialization) much like Hardhat or Foundry helps in Ethereum, but with even deeper integration into the code structure itself. > **Developer Note:** During development, you will frequently see the acronym **SBF** in your terminal commands. This stands for the **Solana Bytecode Format**, the machine language your Rust programs are translated into. ## 2. Architecture: The Coupled vs. Decoupled Model The most significant conceptual leap for Ethereum developers moving to Solana is how code and data are stored. ### Ethereum: The "Contract" Model Ethereum uses the traditional Smart Contract model. In this architecture, a contract is a single entity that possesses both: 1. **Logic (Code)** 2. **State (Data)** **Formula:** `Contract = Code + State` For example, an ERC-20 token contract on Ethereum holds the transfer logic *and* the ledger of user balances inside the same contract address. ### Solana: The "Program & Account" Model Solana decouples logic and data completely. 1. **Programs:** These hold **Code** only. They are stateless executable logic. 2. **Accounts:** These hold **State** (data). **Formula:** `App = Programs (Code) + Accounts (State)` On Solana, a program merely processes instructions. If it needs to store data (like a user's token balance), it must write that data to a separate "Account." This interacts heavily with native programs, such as: * **The System Program:** Handles SOL transfers and account creation. * **The Loader Program:** Handles the deployment of your executable code. ## 3. Execution Models: Sequential vs. Parallel The architectural differences mentioned above directly influence how the network processes transactions. ### Ethereum: Sequential Execution Ethereum processes transactions sequentially. The EVM creates a single-threaded environment where transactions are executed one after another. This ensures safety but creates a bottleneck during high network activity, leading to higher gas fees. ### Solana: Parallel Execution Solana creates a multi-threaded environment capable of **Parallel Execution**. Thousands of transactions can be processed simultaneously, provided they do not interact with the same data. To achieve this, Solana shifts some responsibility to the developer. When you construct a transaction, you must **explicitly declare every account** that the transaction will access or modify. By knowing the dependencies upfront, the Solana runtime can identify which transactions are non-overlapping and execute them concurrently. ## 4. Deployment Economics: Gas vs. Rent The cost of putting code and data on-chain is handled differently in terms of economic policy. ### Ethereum On Ethereum, you pay gas fees to execute the deployment transaction. Once deployed, the code lives on the chain permanently (mostly) without ongoing maintenance costs. There is generally no concept of "rent" for holding storage space. ### Solana Solana introduces the concept of **Rent**. Because storage on a high-performance blockchain is expensive, the network requires you to lock up SOL in proportion to the size of data you are storing. * **Locking SOL:** You must deposit SOL into an account (whether it holds a Program or Data) to keep it alive. * **Refunds:** This is not a sunk cost. If you close an account or delete a program, the SOL locked as rent is **refunded** to your wallet. ## 5. Mutability and Upgrades Finally, the default approach to code permanence differs between the two chains. ### Ethereum: Immutable by Default Ethereum adheres strictly to the "Code is Law" ethos. Once a contract is deployed, it is **immutable**. The code cannot be changed. To upgrade a system on Ethereum, developers must implement **Proxy Patterns**. This involves deploying a "Proxy" contract that points to an "Implementation" contract. To upgrade, you deploy a new implementation and update the pointer. This adds complexity and potential security risks. ### Solana: Upgradable by Default Solana treats on-chain programs more like traditional software. Programs are **upgradable by default**. The authority that deployed the program can update the executable code at the program address (as long as the authority key is retained). This makes patching bugs and iterating on features significantly more straightforward. --- ### Summary Comparison | Feature | Ethereum | Solana | | :--- | :--- | :--- | | **Language** | Solidity, Vyper | Rust, Python | | **Bytecode** | EVM Bytecode | Solana Bytecode Format (SBF) | | **Architecture** | Code & State Coupled (Contracts) | Code & State Decoupled (Programs + Accounts) | | **Execution** | Sequential | Parallel (Requires account declaration) | | **Deployment** | Gas Fees (No Rent) | Rent (SOL locked proportional to data size) | | **Upgradability** | Immutable (Requires Proxy) | Upgradable by default |
Transitioning from Ethereum to Solana involves more than just learning a new syntax; it requires a fundamental shift in your mental model of blockchain architecture. While both ecosystems allow developers to build decentralized applications, the underlying mechanisms for storage, execution, and deployment differ drastically.
In this lesson, we break down the five critical differences between developing on Ethereum (and EVM-compatible chains) versus Solana.
The first barrier to entry for any developer is the programming language and the build environment.
On Ethereum, smart contracts are primarily written in Solidity or Vyper. These languages are designed specifically for the blockchain and compile down to EVM (Ethereum Virtual Machine) Bytecode. If you are coming from a web2 background, Solidity’s syntax is Javascript-like, but its behavior is specific to the EVM.
Solana development leverages general-purpose languages, most notably Rust (the focus of this course) and Python.
Compilation: Your Rust code does not compile to EVM bytecode; instead, it compiles to SBF (Solana Bytecode Format).
The Anchor Framework: While you can write raw Solana programs, it is standard industry practice to use the Anchor Framework. Anchor abstracts away low-level complexities (serialization/deserialization) much like Hardhat or Foundry helps in Ethereum, but with even deeper integration into the code structure itself.
Developer Note: During development, you will frequently see the acronym SBF in your terminal commands. This stands for the Solana Bytecode Format, the machine language your Rust programs are translated into.
The most significant conceptual leap for Ethereum developers moving to Solana is how code and data are stored.
Ethereum uses the traditional Smart Contract model. In this architecture, a contract is a single entity that possesses both:
Logic (Code)
State (Data)
Formula: Contract = Code + State
For example, an ERC-20 token contract on Ethereum holds the transfer logic and the ledger of user balances inside the same contract address.
Solana decouples logic and data completely.
Programs: These hold Code only. They are stateless executable logic.
Accounts: These hold State (data).
Formula: App = Programs (Code) + Accounts (State)
On Solana, a program merely processes instructions. If it needs to store data (like a user's token balance), it must write that data to a separate "Account." This interacts heavily with native programs, such as:
The System Program: Handles SOL transfers and account creation.
The Loader Program: Handles the deployment of your executable code.
The architectural differences mentioned above directly influence how the network processes transactions.
Ethereum processes transactions sequentially. The EVM creates a single-threaded environment where transactions are executed one after another. This ensures safety but creates a bottleneck during high network activity, leading to higher gas fees.
Solana creates a multi-threaded environment capable of Parallel Execution. Thousands of transactions can be processed simultaneously, provided they do not interact with the same data.
To achieve this, Solana shifts some responsibility to the developer. When you construct a transaction, you must explicitly declare every account that the transaction will access or modify. By knowing the dependencies upfront, the Solana runtime can identify which transactions are non-overlapping and execute them concurrently.
The cost of putting code and data on-chain is handled differently in terms of economic policy.
On Ethereum, you pay gas fees to execute the deployment transaction. Once deployed, the code lives on the chain permanently (mostly) without ongoing maintenance costs. There is generally no concept of "rent" for holding storage space.
Solana introduces the concept of Rent. Because storage on a high-performance blockchain is expensive, the network requires you to lock up SOL in proportion to the size of data you are storing.
Locking SOL: You must deposit SOL into an account (whether it holds a Program or Data) to keep it alive.
Refunds: This is not a sunk cost. If you close an account or delete a program, the SOL locked as rent is refunded to your wallet.
Finally, the default approach to code permanence differs between the two chains.
Ethereum adheres strictly to the "Code is Law" ethos. Once a contract is deployed, it is immutable. The code cannot be changed.
To upgrade a system on Ethereum, developers must implement Proxy Patterns. This involves deploying a "Proxy" contract that points to an "Implementation" contract. To upgrade, you deploy a new implementation and update the pointer. This adds complexity and potential security risks.
Solana treats on-chain programs more like traditional software. Programs are upgradable by default. The authority that deployed the program can update the executable code at the program address (as long as the authority key is retained). This makes patching bugs and iterating on features significantly more straightforward.
| Feature | Ethereum | Solana |
|---|---|---|
| Language | Solidity, Vyper | Rust, Python |
| Bytecode | EVM Bytecode | Solana Bytecode Format (SBF) |
| Architecture | Code & State Coupled (Contracts) | Code & State Decoupled (Programs + Accounts) |
| Execution | Sequential | Parallel (Requires account declaration) |
| Deployment | Gas Fees (No Rent) | Rent (SOL locked proportional to data size) |
| Upgradability | Immutable (Requires Proxy) | Upgradable by default |
An architectural deep-dive into Ethereum vs. Solana - Dismantle your EVM mental model to embrace Solana's decoupled program-account structure and parallel execution environment. Master the five critical technical shifts required for development, from handling rent-based storage economics to leveraging native upgradability features.
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Native Rust & Anchor framework
PDAs, CPIs, and SPL Tokens
DeFi builds: oracles, auctions, AMMs
Last updated on January 12, 2026
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Course Overview
About the course
Native Rust & Anchor framework
PDAs, CPIs, and SPL Tokens
DeFi builds: oracles, auctions, AMMs
Last updated on January 12, 2026