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Comparisons

Solidity vs Move for Batch Transaction Execution in Wallets

A technical comparison of Solidity's ERC-4337 UserOperation bundling versus Move's native batch capabilities, analyzing gas efficiency, atomicity guarantees, and suitability for account abstraction wallets.
Chainscore © 2026
introduction
THE ANALYSIS

Introduction: The Batch Execution Imperative for Wallets

Choosing the right smart contract language is foundational for building secure and efficient wallet batch execution systems.

Solidity excels at interoperability and developer adoption because of its deep integration with the Ethereum Virtual Machine (EVM) ecosystem. For example, protocols like Safe (Gnosis Safe) leverage Solidity's mature tooling (Hardhat, Foundry) and standards (ERC-4337 for Account Abstraction) to batch user operations, securing over $40B in TVL. Its deterministic gas model allows for precise fee estimation crucial for multi-op transactions.

Move takes a different approach by enforcing strict resource semantics and linear types at the language level. This results in superior security guarantees against reentrancy and asset duplication by default, as demonstrated by Sui and Aptos wallets. The trade-off is a smaller, though growing, ecosystem and a steeper learning curve for developers accustomed to the EVM stack.

The key trade-off: If your priority is immediate ecosystem leverage, extensive tooling, and EVM compatibility, choose Solidity to build on networks like Polygon, Arbitrum, or Base. If you prioritize maximum security for asset-centric logic and are building on a Move-native chain (Sui, Aptos), choose Move. The decision often hinges on whether you are extending an existing EVM wallet stack or architecting a new, security-first system on a next-generation L1.

HEAD-TO-HEAD COMPARISON

Head-to-Head Feature Comparison: Solidity vs Move

Direct comparison of key metrics and features for batch transaction execution in wallet applications.

Metric / FeatureSolidity (EVM)Move (Aptos/Sui)

Native Batch Execution Support

Atomic Multi-Asset Transfers

Gas Efficiency for Batch Ops

~$5-20 per 10 ops

< $0.01 per 10 ops

Transaction Parallelization

Formal Verification

Limited (3rd party)

Native (Move Prover)

Key Wallet Integrations

MetaMask, Rabby

Petra, Sui Wallet

Max Batch Size (Ops/Tx)

~100-200

~1,024+

Dominant Use Case

Sequential DeFi Interactions

Mass NFT Mints/Airdrops

pros-cons-a
BATCH TRANSACTION EXECUTION IN WALLETS

Solidity with ERC-4337: Pros and Cons

Comparing the dominant EVM standard against the resource-centric Move VM for bundling user operations.

01

Solidity/ERC-4337: Ecosystem Dominance

Immediate network effect: Deploys on Ethereum, Polygon, Arbitrum, and all major L2s with ~$60B TVL. This matters for wallet developers who need instant user and dApp compatibility without fragmentation. Tools like Safe{Core} AA SDK, Alchemy's Account Kit, and Biconomy provide mature, audited infrastructure.

02

Solidity/ERC-4337: Standardized Abstraction

Unified account logic: ERC-4337 defines a single, chain-agnostic UserOperation mempool and Bundler/Paymaster roles. This matters for creating portable smart accounts (e.g., Safe{Wallet}, ZeroDev) where batch logic is consistent across EVM chains, simplifying development and audit processes.

03

Move (Aptos/Sui): Native Batch Security

Resource-oriented safety: Move's bytecode verifier prevents double-spends and reentrancy by design, critical for atomic batch execution. This matters for high-value institutional wallets or gaming wallets where a single malicious batch must be impossible. Protocols like Aptos Labs' MSafe leverage this for secure multi-sig batches.

04

Move (Aptos/Sui): Parallel Execution Speed

Sub-second finality: Aptos Block-STM and Sui's object model enable parallel processing of independent transactions within a batch. This matters for wallet scenarios involving frequent, complex bundles (e.g., DeFi arbitrage, NFT minting) where latency under <1 second is a competitive advantage.

pros-cons-b
Solidity vs Move for Batch Transaction Execution in Wallets

Move with Native Batches: Pros and Cons

Key strengths and trade-offs for building wallet experiences that require atomic multi-asset or multi-step operations.

01

Solidity: Ecosystem & Tooling

Massive developer advantage: 4,000+ monthly active devs (Electric Capital). This matters for recruiting talent and integrating with existing DeFi like Uniswap, Aave, and Compound. Wallets can leverage mature SDKs (ethers.js, viem) and battle-tested patterns for batching via smart contract routers.

02

Solidity: Cost & Complexity

No native batching: Requires a custom, gas-inefficient router contract. This matters for user experience, as failed transactions in a batch can't be atomically reverted, leading to partial states. Gas overhead for each internal call adds up, making complex multi-step operations prohibitively expensive on mainnet.

03

Move: Atomic Execution

Native transaction blocks: Aptos and Sui support atomic multi-asset transfers in a single user-signed transaction. This matters for wallet UX, enabling seamless 'swap & stake' or 'approve & deposit' flows without intermediate approvals or partial failures. The entire batch succeeds or reverts as one unit.

04

Move: Immature Ecosystem

Limited DeFi integration: TVL on Aptos ($500M) and Sui ($700M) is orders of magnitude smaller than Ethereum's ($60B+). This matters for wallet utility, as users have fewer native assets and protocols to interact with. Developer tools (SDKs, indexers) are less mature compared to the EVM stack.

SOLIDITY VS MOVE

Technical Deep Dive: Gas Efficiency and Atomicity

For wallet developers building batch transaction features, the choice of smart contract language directly impacts user costs and transaction reliability. This analysis compares Solidity (Ethereum, Arbitrum, Polygon) and Move (Sui, Aptos) on the critical metrics of gas efficiency and atomic execution.

Move-based chains like Sui and Aptos are generally more gas-efficient for batch operations. This is due to Move's resource-oriented model and parallel execution, which reduces redundant state reads/writes. In contrast, Solidity on EVM chains incurs gas for each individual call in a batch, and storage operations are notoriously expensive. For example, a batch of 10 token transfers can cost under $0.01 on Sui but several dollars on Ethereum mainnet during congestion.

CHOOSE YOUR PRIORITY

When to Choose Solidity or Move: Scenario Analysis

Solidity for DeFi

Verdict: The incumbent standard for composability and liquidity. Strengths:

  • Proven Composability: The ERC-20/4626/721 standards create a seamless money Lego ecosystem. Integrating with protocols like Aave, Uniswap, and MakerDAO is trivial.
  • Massive TVL & Tooling: Over $50B TVL on Ethereum L1/L2s. Development frameworks (Hardhat, Foundry), oracles (Chainlink), and audit firms are battle-tested.
  • Cross-Chain Reach: Deploys natively to Ethereum, Arbitrum, Optimism, Base, and Polygon. Weakness: High gas costs on L1 can limit complex batch logic. Consider L2 deployment.

Move for DeFi

Verdict: Superior for secure, capital-efficient primitives. Strengths:

  • Resource-Oriented Security: Assets are stored in user accounts, not contract storage, preventing reentrancy and unauthorized transfers by default.
  • High Throughput & Low Fees: Aptos and Sui achieve 10K+ TPS with sub-cent fees, ideal for high-frequency operations like order book DEXs (e.g., Econia).
  • Formal Verification Ready: Move Prover allows mathematical proof of contract invariants, critical for stablecoins or lending protocols. Weakness: Younger ecosystem. Less liquidity and fewer integrated price oracles compared to Ethereum.
verdict
THE ANALYSIS

Final Verdict and Decision Framework

Choosing between Solidity and Move for wallet batch transactions is a foundational decision that balances ecosystem leverage against architectural safety and performance.

Solidity excels at ecosystem integration and developer velocity because of its massive, mature network effects. For example, the Ethereum and EVM-compatible L2 ecosystem (Arbitrum, Optimism, Base) collectively holds over $40B in TVL, providing immediate access to established wallet SDKs (like WalletConnect), battle-tested auditing firms, and a vast pool of developers. Batch transaction patterns using multicall contracts are a standard, well-understood primitive, enabling efficient bundling of actions like token approvals and swaps within a single user signature.

Move takes a fundamentally different approach by enforcing strict resource semantics and bytecode verification at the virtual machine level. This results in a trade-off: superior security against reentrancy and overflow bugs by design, but a steeper initial learning curve and a smaller, though rapidly growing, ecosystem (Sui, Aptos). Move's object-centric model and explicit resource ownership make parallel execution of independent transactions within a batch inherently safer and more efficient, a key advantage for high-throughput wallet operations.

The key trade-off: If your priority is launching quickly within the dominant DeFi and wallet ecosystem with a large talent pool, choose Solidity on an EVM chain. If you prioritize architectural safety, parallel execution for scale, and are building a new application where you can define the asset standards, choose Move on Sui or Aptos. For wallet-specific batch execution, Move's native support for transaction composability (tx_context) offers a cleaner paradigm versus EVM's contract-based multicall workarounds.

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Solidity vs Move for Batch Transaction Execution in Wallets | ChainScore Comparisons