Optimistic Rollups like Arbitrum and Optimism excel at maximizing batch size and minimizing L1 data costs by posting only minimal transaction data and a new state root. This approach, relying on a fraud-proof window (typically 7 days), allows for extremely large, cost-effective batches. For example, Arbitrum One can batch thousands of transactions, achieving significant economies of scale and driving its ~40% dominance in L2 TVL.
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Comparisons
Optimistic vs ZK Rollups: Batch Size
A technical analysis of how batch size fundamentally differs between Optimistic and ZK Rollups, impacting throughput, cost efficiency, and user experience for CTOs and architects.
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introduction
THE ANALYSIS
Introduction: The Batch Size Bottleneck
How Optimistic and ZK Rollups approach data compression defines their core performance and cost profiles.
ZK Rollups such as zkSync Era and Starknet take a different approach by posting a cryptographic validity proof (ZK-SNARK/STARK) alongside compressed transaction data. This proof verifies correctness instantly but requires more on-chain data than a simple state root. The trade-off is higher intrinsic batch cost for unparalleled finality and security, eliminating the need for a fraud-proof delay—a critical feature for exchanges and high-value DeFi.
The key trade-off: If your priority is minimizing transaction fees for user-facing applications where a 7-day finality delay is acceptable, choose an Optimistic Rollup. If you prioritize instant, cryptographically guaranteed finality for financial primitives like DEXs or bridges, choose a ZK Rollup, accepting a marginally higher base cost for superior security guarantees.
tldr-summary
Optimistic vs ZK Rollups: Batch Size
TL;DR: Core Differentiators
Batch size is a critical scaling lever. Optimistic Rollups prioritize large, cheap batches, while ZK Rollups optimize for fast, provable finality. Choose based on your application's cost, latency, and security model.
01
Optimistic Rollups: Cost-Effective Batches
Larger batch capacity: Can aggregate thousands of transactions into a single batch, maximizing data compression on L1 (e.g., Arbitrum One batches can contain ~1,000+ tx). This matters for high-throughput, cost-sensitive applications like DeFi yield aggregators or NFT mints where the primary goal is to minimize the per-transaction L1 data fee.
02
Optimistic Rollups: Latency Trade-off
Long finality delay (7-day challenge window): Batches are only considered final after the fraud-proof window expires. This matters for applications requiring deep liquidity bridges (like cross-chain DEXs) or where users are sensitive to withdrawal times, as assets are locked during the challenge period.
03
ZK Rollups: Immediate Finality
Cryptographic proof per batch: A validity proof (SNARK/STARK) is submitted with each batch, providing instant L1 finality (e.g., zkSync Era finality in ~1 hour vs. 7 days). This matters for exchanges and payment systems where fast, secure withdrawals are critical, minimizing capital lock-up and improving user experience.
04
ZK Rollups: Computational Overhead
Higher proving cost limits batch size: Generating a ZK proof is computationally intensive, creating a trade-off between batch frequency and cost (e.g., StarkNet's proof generation time). This matters for applications with simple, uniform transactions (like token transfers) which are cheaper to prove, versus complex, variable smart contract logic.
OPTIMISTIC VS ZK ROLLUPS
Head-to-Head: Batch Size Mechanics
Direct comparison of batch size mechanics, compression, and cost implications for Optimistic and ZK Rollups.
| Metric | Optimistic Rollups (e.g., Arbitrum, Optimism) | ZK Rollups (e.g., zkSync Era, StarkNet) |
|---|---|---|
Data Compression (Avg. Bytes/Tx) | ~12 bytes | ~4 bytes |
Batch Submission Cost Driver | CallData cost on L1 | Proof generation & verification cost |
Batch Finality Time | ~7 days (challenge period) | ~10-30 minutes (proof verification) |
Batch Size Limit | L1 block gas limit | Prover compute constraints |
Cost Efficiency for Users | High (delayed finality trade-off) | Very High (immediate finality) |
Trust Assumption | 1-of-N honest validator | Cryptographic (zero-trust) |
Dominant Cost at Scale | L1 data availability | Prover compute resources |
pros-cons-a
ARCHITECTURAL TRADEOFF
Optimistic vs ZK Rollups: Batch Size
Batch size directly impacts throughput, latency, and cost. The core trade-off is between immediate finality and operational simplicity.
01
Optimistic Rollups: Larger Batches
Aggregate more transactions per batch: Optimistic rollups like Arbitrum One and OP Mainnet can bundle thousands of transactions into a single L1 batch, maximizing data compression. This leads to lower average fees per transaction when the chain is busy. Ideal for high-volume, cost-sensitive applications like DEX aggregators (1inch) and social/gaming dApps where absolute finality can be delayed.
~2,000-4,000
Txs per batch (est.)
02
Optimistic Rollups: Variable Cost
Cost efficiency at scale: The cost of the batch (L1 data fee) is amortized across all transactions inside it. During peak L1 congestion, this model provides a significant cost advantage over ZK rollups, which pay for a proof with every batch. This matters for protocols with high, unpredictable transaction volume like NFT marketplaces (Blur) or perpetual exchanges.
03
ZK Rollups: Smaller, Faster Batches
Near-instant finality enables micro-batches: ZK rollups like zkSync Era and Starknet can submit smaller batches more frequently because validity proofs provide immediate L1 finality. This results in lower withdrawal delays (minutes vs. 7 days) and more predictable latency. Critical for bridges, CEX off-ramps, and real-time settlement where capital efficiency is paramount.
~10-30 mins
Withdrawal Time
04
ZK Rollups: Fixed Proof Overhead
Each batch requires a cryptographic proof: This creates a fixed cost overhead per batch, regardless of the number of transactions inside. While proof generation is rapidly optimizing (e.g., StarkWare's SHARP), it makes ZK rollups less cost-effective for very small batches. The trade-off favors use cases requiring strong finality guarantees and auditability, such as institutional DeFi (dYdX v4) and privacy-preserving apps.
~500K gas
Proof Verification Cost
pros-cons-b
Optimistic vs ZK Rollups: Batch Size
ZK Rollups: Pros & Cons
Batch size is a critical scaling parameter. Larger batches reduce per-transaction costs but increase latency and capital requirements. Here's how the two major rollup types differ.
01
Optimistic Rollups: Larger Batches
Higher throughput per batch: Can bundle 10,000+ transactions (e.g., Arbitrum One, Optimism). This drastically reduces fixed-cost overhead per TX, leading to lower average fees for users during high-volume periods. Ideal for high-throughput DeFi protocols like Uniswap or GMX that prioritize cost over instant finality.
02
Optimistic Rollups: Capital Efficiency
No upfront proof cost: Sequencers can post large data batches to L1 (Ethereum) without expensive computation. This lowers the capital barrier for sequencer operation, fostering decentralization. However, it introduces a 7-day challenge period for fraud proofs, delaying finality for large-value withdrawals.
03
ZK Rollups: Smaller, Faster Batches
Near-instant finality: Each batch includes a validity proof (ZK-SNARK/STARK) verified on L1 in ~10 minutes (e.g., zkSync Era, Starknet). This allows for smaller, more frequent batches without security trade-offs. Critical for exchanges and payment apps where withdrawal finality cannot wait a week.
04
ZK Rollups: Proof Cost Trade-off
High computational overhead: Generating ZK proofs for large batches is resource-intensive, increasing sequencer costs. This can lead to higher base fees per batch, though costs are amortized. The ecosystem is evolving with specialized hardware (e.g., accelerators from Ulvetanna) to make larger ZK batches economically viable.
OPTIMISTIC VS ZK-ROLLUPS
Technical Deep Dive: Batch Economics & Finality
Understanding the core trade-offs in transaction batching and finality between Optimistic and ZK-Rollups is critical for infrastructure decisions. This section breaks down the economic incentives, security assumptions, and performance implications.
Optimistic Rollups typically offer lower base fees today. They batch transactions with minimal on-chain computation, leading to cheaper costs for simple transfers on networks like Arbitrum and Optimism. ZK-Rollups, like zkSync and StarkNet, require expensive cryptographic proofs, making their base fee higher, though this cost is amortized across the entire batch. For high-throughput dApps, ZK-Rollup fees per user can become competitive.
CHOOSE YOUR PRIORITY
Decision Framework: Choose Based on Your Use Case
Optimistic Rollups (Arbitrum, Optimism) for DeFi
Verdict: The current incumbent for high-value, complex applications. Strengths:
- EVM Equivalence: Seamless deployment of existing Solidity contracts (Arbitrum Nitro, OP Stack).
- Massive TVL & Liquidity: Dominant market share with over $18B TVL locked in protocols like GMX, Uniswap, and Aave.
- Proven Security: Multi-year track record with extensive battle-testing. Trade-off: 7-day withdrawal delay requires liquidity bridges (e.g., Across, Hop) and fraud proofs add complexity.
ZK Rollups (zkSync Era, Starknet) for DeFi
Verdict: The emerging standard for novel, fee-sensitive, and security-critical applications. Strengths:
- Capital Efficiency: Instant, trustless withdrawals to L1.
- Superior Security Model: Cryptographic validity proofs eliminate fraud proof games.
- Lower Long-Term Fees: Larger batch compression potential as proof costs amortize. Trade-off: EVM compatibility is still evolving (e.g., zkEVM bytecode differences), and ecosystem liquidity is growing but smaller.
verdict
THE ANALYSIS
Final Verdict & Strategic Recommendation
Choosing between Optimistic and ZK Rollups based on batch size is a strategic decision between immediate cost efficiency and long-term security guarantees.
Optimistic Rollups (like Arbitrum and Optimism) excel at maximizing batch throughput and minimizing user costs by deferring expensive computation. Their larger, cheaper-to-produce batches allow for lower transaction fees for end-users, as seen with Arbitrum One's average transaction fee of ~$0.10, often undercutting its ZK counterparts. This model prioritizes scalability and developer experience today, leveraging the mature EVM tooling for easier migrations.
ZK Rollups (like zkSync Era and StarkNet) take a fundamentally different approach by generating a cryptographic validity proof (ZK-SNARK/STARK) for each batch. While this proof generation is computationally intensive, limiting initial batch size and increasing prover costs, it provides near-instant, cryptographically guaranteed finality on L1. This eliminates the 7-day withdrawal delay inherent to Optimistic Rollups' fraud-proof window, a critical advantage for exchanges and high-value DeFi protocols.
The key trade-off is between cost & speed of execution versus speed & certainty of finality. If your priority is minimizing transaction fees for a high-volume dApp (e.g., a social or gaming protocol) and you can tolerate a week-long challenge period for withdrawals, an Optimistic Rollup is the pragmatic choice. Choose a ZK Rollup when your application demands instant L1 finality and superior censorship resistance—essential for CEX integrations, cross-chain bridges, or institutional DeFi—and you can accommodate currently higher operational costs for the prover.
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