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Comparisons

Shared DA layers vs Dedicated DA per rollup

A technical analysis for CTOs and architects on the core trade-offs between leveraging a shared data availability network and building a dedicated, isolated DA solution for your rollup.
Chainscore © 2026
introduction
THE ANALYSIS

Introduction: The Foundational Rollup Decision

Choosing between a Shared Data Availability (DA) layer and a Dedicated DA per rollup is the first critical architectural choice that defines your chain's cost, security, and scalability profile.

Shared DA layers, like Celestia, EigenDA, or Avail, excel at cost efficiency and rapid deployment because they amortize security and data storage costs across hundreds of rollups. For example, posting data to Celestia can cost ~$0.01 per MB, orders of magnitude cheaper than Ethereum calldata, enabling high-throughput chains like Arbitrum Nova to scale affordably. This model provides a standardized, battle-tested foundation, reducing time-to-market and operational overhead for new rollups.

Dedicated DA per rollup, where each rollup posts its data directly to a base layer like Ethereum, takes a different approach by maximizing security and ecosystem integration. This results in the trade-off of higher, more volatile costs for the strongest possible security guarantees. Chains like Arbitrum One and Optimism pay Ethereum's L1 gas fees for data, which can spike, but they inherit Ethereum's unparalleled validator set and censorship resistance, a non-negotiable for high-value DeFi protocols securing billions in TVL.

The key trade-off: If your priority is minimizing transaction costs, achieving maximum throughput, and launching quickly, choose a Shared DA layer. If you prioritize absolute security, deep composability with Ethereum's DeFi ecosystem, and are building a high-value application, choose a Dedicated DA on Ethereum. Your decision ultimately hinges on whether you value economic scalability or maximal security inheritance.

tldr-summary
Shared DA vs. Dedicated DA

TL;DR: Core Differentiators

Key architectural trade-offs for rollup data availability at a glance.

01

Shared DA (e.g., Celestia, EigenDA, Avail)

Cost Efficiency & Scalability: Decouples DA from execution, enabling sub-cent transaction costs (e.g., <$0.001 per MB). This matters for high-throughput, cost-sensitive applications like gaming and social apps.

<$0.001
Cost per MB (est.)
02

Shared DA (e.g., Celestia, EigenDA, Avail)

Modular Flexibility & Interoperability: Provides a sovereign data layer that multiple rollups (e.g., Arbitrum Orbit, Optimism Stack) can plug into. This matters for ecosystem builders who want to launch a custom chain without managing DA security.

03

Dedicated DA (e.g., Ethereum L1, Solana)

Maximum Security & Alignment: Inherits the full security and liveness guarantees of the parent chain (e.g., Ethereum's ~$80B+ staked ETH). This matters for high-value DeFi protocols (like Aave, Uniswap) where security is non-negotiable.

$80B+
ETH Securing DA
04

Dedicated DA (e.g., Ethereum L1, Solana)

Simplified Settlement & Bridging: Native integration with the settlement layer reduces trust assumptions for cross-rollup communication (e.g., via native bridges). This matters for protocols requiring deep liquidity and atomic composability across a single ecosystem.

HEAD-TO-HEAD COMPARISON

Shared DA vs Dedicated DA: Feature Comparison

Direct comparison of Data Availability (DA) models for Ethereum rollups, focusing on cost, security, and operational trade-offs.

Metric / FeatureShared DA (e.g., EigenDA, Celestia)Dedicated DA (e.g., Ethereum Calldata, EIP-4844 Blobs)

Cost per MB (Est.)

$0.20 - $0.50

$50 - $150

Data Availability Security

Cryptoeconomic (Restaked ETH or Token)

Full Ethereum Consensus

Throughput (MB/s)

10 - 100+

~0.375 (Post-Dencun)

Settlement & Consensus Coupling

Multi-Rollup Cost Sharing

Protocol Native Integration

Time to Adoption

2023-2024

Live (Dencun Upgrade)

pros-cons-a
Shared vs. Dedicated Data Availability

Pros and Cons: Shared DA Layers

Key strengths and trade-offs at a glance for choosing a Data Availability (DA) strategy. Use Shared DA (e.g., Celestia, EigenDA, Avail) for cost efficiency and interoperability. Use Dedicated DA (e.g., posting to Ethereum L1, Sovereign rollups) for maximum security and sovereignty.

02

Shared DA: Interoperability & Composability

Unified data root: Rollups using the same DA layer (e.g., all on EigenDA) enable native cross-rollup communication and shared liquidity without complex bridging. This matters for building cohesive app-chains and ecosystems like Polygon CDK or Arbitrum Orbit.

10+
Rollups on Celestia
03

Dedicated DA: Maximum Security

Inherits full L1 security: Posting data directly to Ethereum (e.g., Arbitrum, Optimism) leverages the $500B+ economic security of the Ethereum validator set. This matters for high-value DeFi protocols (e.g., Aave, Uniswap V4) where data integrity is non-negotiable.

$500B+
Ethereum Staked + Market Cap
pros-cons-b
Shared vs. Dedicated Data Availability

Pros and Cons: Dedicated DA per Rollup

A critical architectural choice for rollup security and performance. Shared layers like Celestia and EigenDA offer economies of scale, while dedicated solutions like Avail or a rollup's own L1 provide maximum control.

05

Shared DA: Rapid Bootstrapping

Specific advantage: Plug into a battle-tested network with existing economic security (e.g., EigenDA re-stakes Ethereum stake). Teams avoid the massive capital cost of bootstrapping a new validator set. This matters for startup rollups and MVPs needing to launch quickly with credible security.

06

Dedicated DA: Protocol Revenue Capture

Specific advantage: The rollup captures 100% of DA fees and can monetize its data layer. This creates a new revenue stream and sustainable tokenomics, unlike paying fees to a shared DA provider. This matters for long-term protocol sustainability and value accrual to the native token.

CHOOSE YOUR PRIORITY

Decision Framework: When to Choose Which

Shared DA (Celestia, EigenDA, Avail) for Cost Efficiency

Verdict: The default choice for most new rollups. Strengths: Data availability costs are amortized across hundreds of rollups, leading to the lowest possible $/byte. For example, posting 1 MB of data on Celestia can cost under $1, while the same on Ethereum L1 can exceed $3,000. This is critical for high-throughput applications like social feeds or per-transaction cost-sensitive DeFi. Trade-off: You inherit the liveness and economic security of the shared DA network, which is typically lower than Ethereum's but sufficient for many applications.

Dedicated DA (Ethereum L1 Blobs) for Cost Efficiency

Verdict: Only when extreme cost reduction is not the primary driver. Strengths: While more expensive than alternatives, costs are still ~100x cheaper than pre-EIP-4844 calldata. Suitable for rollups where brand security and Ethereum alignment outweigh marginal cost savings, or for protocols with naturally low data volume (e.g., niche DeFi). Consideration: Monitor blob fee markets; during congestion, costs can spike, making a shared DA layer more attractive for predictable budgeting.

SHARED VS DEDICATED DATA AVAILABILITY

Technical Deep Dive: Security and Data Guarantees

Choosing a Data Availability (DA) layer is a foundational security decision for any rollup. This comparison breaks down the core trade-offs between shared layers like Celestia, EigenDA, and Avail versus dedicated chains, helping you match the solution to your protocol's risk profile and economic model.

Yes, shared DA layers are typically more cost-effective for most rollups. By pooling resources and bandwidth across many users, protocols like Celestia and EigenDA achieve economies of scale, driving down the cost per byte of data published. For example, posting data to Celestia can be 100x cheaper than using Ethereum calldata. A dedicated chain, like a rollup posting directly to its own validator set, bears the full cost of security and infrastructure alone, which is only justifiable for applications with massive, consistent data volume (e.g., a major social network or gaming chain).

verdict
THE ANALYSIS

Final Verdict and Strategic Recommendation

Choosing between shared and dedicated Data Availability (DA) is a foundational architectural decision that dictates your rollup's cost, security, and ecosystem alignment.

Shared DA layers like Celestia, EigenDA, and Avail excel at providing low-cost, high-throughput data availability by amortizing security and infrastructure costs across hundreds of rollups. This results in dramatically lower transaction fees for end-users. For example, a rollup using EigenDA can achieve data availability for under $0.001 per transaction, a critical metric for high-frequency applications. This model fosters a modular ecosystem where projects like Arbitrum Orbit and Optimism's OP Stack can easily plug into a shared security base.

Dedicated DA per rollup, where a rollup posts its data directly to a base layer like Ethereum, takes a different approach by prioritizing maximal security and sovereignty. This results in the trade-off of significantly higher costs—Ethereum blob fees can be 10-100x more expensive than a shared alternative—but provides the strongest possible cryptographic guarantees and direct alignment with the most battle-tested settlement layer. This is the path chosen by protocols like zkSync Era and Base, which value Ethereum's consensus above all else.

The key trade-off is cost vs. security sovereignty. If your priority is minimizing user transaction fees, achieving hyper-scalability, and operating within a modular stack, choose a shared DA layer like Celestia. If your priority is maximizing security by inheriting Ethereum's full consensus, maintaining direct composability with the L1, and accepting higher operational costs for that guarantee, choose dedicated DA on Ethereum. For teams building consumer dApps or gaming protocols, shared DA is often the pragmatic choice. For protocols managing billions in TVL or requiring the strongest possible trust assumptions, dedicated DA remains the gold standard.

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Shared DA vs Dedicated DA for Rollups | Cost, Security, Trade-offs | ChainScore Comparisons