Building on Algorand as an Ethereum Developer

If you’ve built on Ethereum, you’re probably familiar with high gas fees, slow transaction speeds during congestion, and the complexities of scaling. Algorand was designed to solve these issues while still offering a familiar smart contract experience.

Projects are migrating from Ethereum to Algorand to benefit from:

• Fast Transactions: Blocks finalize in 2.8 seconds with no risk of chain forks.
• Low Fees: Typical transaction fees are ~0.001 ALGO — ideal for apps requiring high frequency or micro-payments.
• High Throughput: Up to 10,000+ TPS.
• Powerful Dev Tools: AlgoKit simplifies project setup, local testing, and deployment.
• Smooth Transition: TEALScript uses TypeScript syntax, making it easier for Solidity and JavaScript developers to onboard.

Reason to Migrate

• Ethereum is widely used but suffers from high fees, slow transaction speeds, and scalability challenges.
• Algorand offers fast, low-cost transactions with instant finality and high throughput (TPS).

Transaction Fees

• Ethereum has high and often unpredictable gas fees.
• Algorand provides very low fees with predictable and stable costs.

Performance

• Ethereum handles limited TPS and faces potential network congestion.
• Algorand delivers high TPS with fast block finality.

Smart Contract Language

• Ethereum uses Solidity primarily.
• Algorand uses TEAL, accessible via PyTeal (Python) or TEALScript (TypeScript).

EVM Compatibility

• Ethereum has native Ethereum Virtual Machine support.
• Algorand is not EVM compatible by default; contracts require rewriting or adaptation. Bridges exist but vary in maturity.

Account Model

• Ethereum uses standard accounts with no opt-in required.
• Algorand introduces a unique ASA opt-in model; accounts must opt-in to assets.

Developer Tooling

• Ethereum developers use tools like Hardhat, Truffle, and ethers.js.
• Algorand developers use AlgoKit, AlgoSDK, and TEALScript — a different but powerful ecosystem.

Migration Strategy

• You can find information by watching the videos we added from the Algorand Developers YouTube channel.