If you come from Web2, Solana’s account model feels weird at first.
You expect databases, backend servers, and application state living somewhere behind an API.
Instead, Solana gives you one core idea:
Everything is an account.
Wallets are accounts.
Programs are accounts.
Token balances live in accounts.
Even smart contract state is stored in accounts.
Unlike Ethereum, which separates wallets and contracts, Solana uses one flat account model for everything.
A Solana account has five main fields:
-
lamports → the SOL balance (
1 SOL = 1 billion lamports) - data → raw bytes storing account state
- owner → the program allowed to modify the account
- executable → whether the account is runnable program code
- rent_epoch → deprecated field related to rent collection
The biggest mental shift for me was understanding that:
Programs do not store their own state.
On Solana, programs are mostly stateless.
The executable code lives in one account, while separate data accounts store application state.
Coming from Web2, the best analogy I found is a filesystem:
- Programs = executable binaries
- Data accounts = files/databases
- System Program = operating system kernel
- Public keys = file paths
Programs simply read and write to accounts they are given access to.
Another interesting rule: only the owner program can modify an account’s data or debit lamports from it. But anyone can send lamports to an account. That ownership model is much simpler and stricter than traditional backend permission systems.
I also found Solana’s rent model surprisingly elegant. Accounts must maintain a minimum SOL balance proportional to their data size to remain on-chain. Instead of hiding storage costs behind infrastructure bills, Solana exposes them directly at the protocol level.
The coolest part is realizing how transparent the system is.
Using Solana Explorer or RPC calls, you can inspect accounts, transactions, balances, program interactions, and state changes in real time.
At some point it stopped feeling like “using a blockchain” and started feeling like debugging a distributed operating system.
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