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Comparisons

Solana vs Modular Stack: OpEx Costs

A technical breakdown of operational expenditure for Solana's monolithic chain versus a modular stack using rollups. We compare gas fees, validator/staker costs, data availability pricing, and total cost of ownership for high-throughput applications.
Chainscore © 2026
introduction
THE ANALYSIS

Introduction: The OpEx Battle for High-Throughput Apps

Choosing between Solana's integrated design and a modular stack like Celestia + Rollups is fundamentally a strategic decision about operational expenditure (OpEx) predictability versus flexibility.

Solana excels at providing a predictable, all-in-one cost model for applications demanding extreme throughput. Its monolithic architecture bundles execution, consensus, data availability, and settlement into a single layer, resulting in sub-penny transaction fees even under high load. For example, the network has consistently processed over 2,000 TPS with average fees below $0.001, making it the go-to for high-frequency DeFi protocols like Raydium and Jito and consumer apps like DRiP. The primary OpEx is the cost of running high-performance RPC nodes and managing SOL for transaction fees.

The Modular Stack (e.g., Celestia for data availability, Arbitrum Orbit or OP Stack for execution) takes a different approach by decoupling these functions. This allows teams to deploy a dedicated rollup, controlling their own gas token and fee market. While base-layer data posting costs on Celestia can be extremely low (e.g., ~$0.01 per MB), you incur the OpEx of sequencing, proving, and managing the rollup's infrastructure. This model trades the simplicity of a shared chain for sovereignty and customizability, as seen with dYdX migrating to its own Cosmos app-chain and Aevo operating a custom OP Stack chain.

The key trade-off: If your priority is minimizing upfront complexity and gaining immediate access to deep, shared liquidity with highly predictable, ultra-low fees, choose Solana. If you prioritize long-term fee control, maximal customizability (e.g., custom gas tokens, privacy features), and are willing to manage the operational overhead of your own chain, choose a Modular Stack.

tldr-summary
Solana vs Modular Stack

TL;DR: Key OpEx Differentiators

A direct comparison of operational expenditure drivers. Solana offers a consolidated cost model, while the modular stack presents a composable but complex fee structure.

01

Solana: Predictable, Low-Cost Per Tx

Single-fee model: Transaction fees are paid in SOL, averaging $0.00025 per transaction. This provides a simple, predictable cost structure for high-throughput applications like NFT marketplaces (Magic Eden) and DEX aggregators (Jupiter). No need to manage multiple token balances for execution, data, or settlement.

$0.00025
Avg. Tx Cost
5,000+
TPS Capacity
02

Solana: Lower Overhead & Simplicity

Integrated stack: One team manages deployment, monitoring, and upgrades on a single network. This reduces engineering overhead compared to coordinating across multiple modular layers (Rollup, DA, Settlement). Ideal for startups and applications prioritizing speed-to-market over architectural flexibility.

03

Modular Stack: Granular Cost Optimization

A la carte fee control: You can choose the most cost-effective component for each layer (e.g., Celestia for data, Arbitrum for execution, Ethereum for settlement). This allows for fine-tuning OpEx based on app needs, crucial for high-volume DeFi protocols (dYdX v4) or gaming ecosystems where data costs dominate.

$0.01
Avg. Rollup Tx (ex-gas)
04

Modular Stack: Long-Term Scalability & Sovereignty

Avoid monolithic bottlenecks: By decoupling the data availability (DA) layer, you insulate your app's costs from Solana's potential congestion fees. Using a sovereign rollup or validium (e.g., with EigenDA) can reduce costs by >90% vs. posting all data to Ethereum L1. Essential for enterprise-scale applications planning for 10x+ user growth.

05

Solana Con: Congestion Risk & Fee Volatility

Monolithic risk: During network congestion (e.g., meme coin surges), priority fees spike, and transaction costs can become unpredictable. This creates variable OpEx that is hard to forecast, a significant concern for applications requiring stable, low-cost operations like micropayments or social feeds.

06

Modular Stack Con: Integration & Management Overhead

Multi-layer complexity: Requires expertise and ongoing management of separate rollup stack components (sequencer, prover, DA bridge). This increases engineering and DevOps costs, making it less suitable for small teams or projects where developer velocity is the primary constraint.

HEAD-TO-HEAD COMPARISON

Solana vs Modular Stack: OpEx Cost Comparison

Direct comparison of key operational expenditure metrics for monolithic and modular blockchain architectures.

MetricSolana (Monolithic)Modular Stack (e.g., Celestia + Rollup)

Avg. Transaction Cost (User)

$0.001 - $0.01

$0.10 - $2.00

Settlement & Data Availability Cost

~$0 (Bundled)

$0.001 - $0.10 per MB

Validator Node OpEx (Monthly)

$5,000 - $15,000

$1,000 - $5,000

Sequencer/Prover OpEx (Monthly)

$2,000 - $10,000+

Time to Finality

~400ms - 2.5s

~2 min - 20 min

Throughput (Peak TPS)

65,000+

10,000+ (per rollup)

Sovereignty / Customizability

pros-cons-a
PROS AND CONS FOR OPERATIONAL EXPENDITURE

Solana vs Modular Stack: OpEx Costs

A direct comparison of the ongoing cost structures for running applications on Solana's monolithic chain versus a modular stack (e.g., Celestia DA, Arbitrum Orbit, OP Stack).

01

Solana Pro: Predictable, All-Inclusive Cost Model

Single-layer fee structure: All execution, data availability, and consensus costs are bundled into one SOL-denominated fee. This simplifies budgeting and forecasting for high-throughput applications like Helium (IoT) and Jito (liquid staking). You pay for compute units, not for separate DA blobs or L2 sequencing.

< $0.001
Avg. Cost/Tx
1
Fee Token
02

Solana Con: Limited Cost Control & Volatility Exposure

No granular cost optimization: You cannot swap out components (e.g., DA layer) for cheaper alternatives. During network congestion, fees spike and are solely denominated in SOL, exposing your OpEx to token volatility. Projects like MarginFi must manage treasury risk around SOL price swings.

SOL
Sole Fee Asset
03

Modular Stack Pro: Granular, Optimizable Cost Components

Unbundled cost control: You can select and pay for each layer separately (Execution, DA, Settlement). Use Celestia for low-cost DA (~$0.01 per MB), EigenDA for restaked security, or Ethereum calldata for maximum security. This is critical for cost-sensitive, high-volume apps like Hyperliquid (perpetuals DEX) on its own L1.

3+
DA Providers
04

Modular Stack Con: Complex Multi-Token Management & Integration Overhead

Multi-currency fee management: OpEx involves managing native gas tokens for your rollup, payment tokens for your DA layer (e.g., TIA), and potentially a separate sequencer. This adds treasury and operational complexity. Integration and maintenance of the stack (e.g., an Arbitrum Orbit chain with a custom DA) requires deeper DevOps expertise.

2-3+
Tokens to Manage
pros-cons-b
Solana vs. Modular Stack

Modular Stack: Pros and Cons for OpEx

Key operational expenditure (OpEx) strengths and trade-offs at a glance. Compare the all-in-one model against the composable, multi-chain approach.

01

Solana: Predictable, All-In-One Costing

Single-chain billing: All compute, data, and consensus costs are bundled into a single, predictable fee paid in SOL. This simplifies budgeting and eliminates multi-vendor coordination overhead.

High throughput reduces unit cost: With ~5,000 TPS and sub-second finality, the cost per transaction is extremely low, often <$0.001. This is ideal for high-frequency, low-value operations like micropayments, NFT mints, and high-speed DEX arbitrage.

Trade-off: You are locked into Solana's performance and cost structure. During network congestion, fees can spike unpredictably.

02

Solana: Simplified Infrastructure Management

Unified node operation: Run a single validator or RPC node to access the entire state. This reduces DevOps complexity, monitoring overhead, and the need for specialized chain-specific tooling.

Ecosystem tooling maturity: Leverage battle-tested tools like Solana Labs CLI, Helius RPCs, and Triton's Firedancer for deployment and maintenance. This lowers the learning curve and engineering time required for production readiness.

Trade-off: You bear the full cost and responsibility of node uptime and data availability. There is no separation of concerns to optimize individual layers.

03

Modular Stack: Granular Cost Optimization

Layer-by-layer vendor selection: Choose the most cost-effective provider for each function: Celestia for data availability ($0.0015 per blob), EigenLayer for shared security, and Arbitrum Orbit or OP Stack for execution. This allows fine-tuning OpEx based on specific app needs (e.g., high security vs. low-cost data).

Pay-for-what-you-use execution: On rollups like Arbitrum Nitro or zkSync Era, you primarily pay for computation (L2 gas) and data posting fees to the DA layer. Idle chains cost very little.

Trade-off: Requires significant integration work, multi-chain monitoring, and introduces bridging latency and costs.

04

Modular Stack: Scalability & Exit Flexibility

Horizontal scaling at the app-chain level: If your application outgrows shared block space, you can deploy a dedicated rollup (e.g., using AltLayer or Caldera) without a full protocol fork. This isolates your costs and performance from network congestion.

Reduced vendor lock-in: The modular thesis allows swapping components. You can migrate from one DA layer (e.g., Celestia) to another (e.g., EigenDA or Avail) or change your settlement layer if costs or features change.

Trade-off: This flexibility comes with the operational burden of managing a more complex, multi-component system and its inherent interoperability risks.

SOLANA VS MODULAR STACK (OPEX COSTS)

Quantitative Cost Analysis: Base Case Scenario

Direct comparison of operational expenditure for a high-throughput dApp processing 1 million transactions per day.

MetricSolana (Monolithic)Modular Stack (Rollup on Celestia)

Cost per 1M Transactions

$1,000

$10 - $50

Avg. Transaction Fee

$0.001

< $0.0001

State Bloat Cost (Annual)

$0

$5,000 - $20,000

Sequencer/Validator Cost (Monthly)

$0

$2,000 - $8,000

Data Availability Cost per MB

N/A (Included)

$0.01

Developer Tooling Maturity

CHOOSE YOUR PRIORITY

Decision Framework: Choose Based on Your Use Case

Solana for DeFi

Verdict: Optimal for high-frequency, low-fee applications. Strengths: Sub-cent transaction fees enable micro-transactions and high-frequency arbitrage. High throughput (2k-50k TPS) supports liquidations and oracle updates. Native parallel execution via Sealevel is ideal for AMMs like Raydium and lending markets like Solend. Cost Reality: Predictable, ultra-low OpEx for users, but requires high validator hardware costs, translating to higher network-level capital expenditure.

Modular Stack (e.g., Arbitrum, Base, zkSync) for DeFi

Verdict: Best for security-first, capital-heavy protocols. Strengths: Inherits Ethereum's battle-tested security and liquidity (e.g., Uniswap, Aave). Lower developer friction with EVM compatibility. Data availability layers like Celestia or EigenDA can reduce L2 batch posting costs. Cost Reality: User fees (gas) are higher than Solana but predictable. Protocol OpEx depends on L2 sequencer costs and DA choices, offering tunable cost structures.

verdict
THE ANALYSIS

Verdict and Strategic Recommendation

A final cost-benefit analysis to guide infrastructure selection based on operational expenditure and strategic goals.

Solana excels at providing a predictable, all-in-one cost structure for high-throughput applications. Its monolithic architecture bundles execution, data availability, and consensus into a single, highly optimized layer, resulting in remarkably low transaction fees (often <$0.001) and high throughput (2-3k TPS sustained, 65k+ peak). This makes operational costs for end-users and developers highly transparent and stable, as seen with high-volume protocols like Jupiter and Raydium, which handle billions in volume on sub-penny fees.

A Modular Stack (e.g., using an OP Stack L2, Celestia for DA, and EigenLayer for security) takes a different approach by decoupling costs. This results in variable, component-based OpEx where you pay separately for execution, data availability, and security. While this can offer lower costs for specific, less active applications, it introduces complexity in cost forecasting and management. The trade-off is control and flexibility versus predictability; you can swap out a costly DA layer like Ethereum for a cheaper alternative like Celestia, but you must manage the integration and monitor each component's pricing.

The key trade-off: If your priority is cost predictability and developer simplicity for a high-frequency, consumer-scale dApp where ultra-low, stable fees are non-negotiable, choose Solana. If you prioritize maximum configurability and sovereignty, are willing to manage a multi-vendor stack to optimize for a specific, less throughput-intensive use case, or require deep integration with the Ethereum ecosystem, choose a Modular Stack. The decision ultimately hinges on whether you value the operational simplicity of a finished product or the strategic flexibility of a build-your-own infrastructure.

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