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the-modular-blockchain-thesis-explained
Blog

Why Data Availability Committees Are a Temporary Fix

An analysis of why Data Availability Committees (DACs) are a necessary but temporary scaling solution in the modular stack, destined to be replaced by fully decentralized sampling networks as the technology matures.

introduction
THE TEMPORARY FIX

Introduction

Data Availability Committees are a pragmatic but fundamentally centralized scaling solution that will be obsoleted by verifiable data layers.

Data Availability Committees (DACs) are a centralized trade-off for scaling. They allow L2s like Arbitrum Nova to scale by trusting a small, permissioned set of signers to attest to data availability, bypassing the cost of posting all data to Ethereum L1.

The security model regresses to a multi-sig. This is a deliberate regression from Ethereum's trust-minimized security, trading decentralization for immediate scalability and lower fees, similar to early Binance Smart Chain.

DACs are a temporary bridge to full data availability solutions. Their existence is predicated on the eventual maturation and cost-effectiveness of EigenDA or Celestia, which provide cryptographic guarantees without a trusted committee.

Evidence: Arbitrum Nova's DAC, managed by Offchain Labs, processes transactions for Reddit's Community Points. This demonstrates real-world adoption but highlights the centralized bottleneck the ecosystem aims to eliminate.

thesis-statement
THE TEMPORARY SCALING FIX

The Core Argument

Data Availability Committees are a pragmatic but transitional scaling solution that trades decentralization for throughput, creating a security bottleneck.

DACs are centralized bottlenecks. They replace the decentralized data availability layer with a small, permissioned set of signers, creating a single point of failure that contradicts blockchain's core value proposition.

The security model degrades. Unlike Ethereum's data sharding or Celestia's data availability sampling, DAC security depends on honest majority assumptions within a small, known group, not cryptographic or economic guarantees.

This is a product-market fit hack. Protocols like Arbitrum Nova use DACs to offer sub-cent fees today, but this is a bridge to full danksharding or dedicated DA layers, not a final architecture.

Evidence: Polygon Avail and EigenDA are building generalized DA layers to obsolete the committee model, proving the industry views DACs as a temporary scaling patch.

market-context
THE DATA AVAILABILITY BOTTLENECK

The Modular Scaling Rush

Data Availability Committees (DACs) are a pragmatic but temporary scaling solution that trades decentralization for cost, creating a centralization vector that will be eliminated by verifiable data layers.

DACs are a security trade-off. They replace on-chain data posting with a multi-signature promise from a permissioned set of entities, like Celestia's early rollups or EigenDA's operators. This reduces transaction costs by 90% but reintroduces a trusted setup, contradicting blockchain's core value proposition.

Their lifespan is protocol-dependent. A high-value DeFi rollup like dYdX will migrate from a DAC to a data availability layer like Celestia or Avail within 12-18 months. A social app with lower capital risk might tolerate a DAC indefinitely. The cost delta between a DAC and a true DA layer determines the migration timeline.

The endgame is verifiable data. Technologies like Data Availability Sampling (DAS) and Ethereum's EIP-4844 (blobs) provide cryptographic security at scale. Celestia's modular design and EigenDA's restaking security are building this future. DACs are a bridge to this infrastructure, not the destination.

Evidence: The planned migration of Manta Pacific from a DAC to Celestia's mainnet and the rapid adoption of EIP-4844 blobs by Arbitrum and Optimism, which reduced their L1 posting costs by over 90%, demonstrate the irreversible shift toward verifiable data.

TEMPORARY FIX VS. PERMANENT SOLUTION

DA Landscape: Committees vs. Sampling

Comparison of Data Availability (DA) security models, highlighting why committees are a transitional solution for scaling.

Core Metric / FeatureData Availability Committee (DAC)Data Availability Sampling (DAS)On-Chain Data (e.g., Ethereum)

Security Assumption

Honest majority of N-of-M signers

Honest minority assumption via erasure coding

Economic security of L1 consensus

Trust Model

Trusted (Permissioned Validator Set)

Trustless (cryptographic guarantees)

Trustless (decentralized consensus)

Data Redundancy

Replicated across committee nodes

Erasure-coded & distributed via KZG commitments

Replicated across all consensus nodes

Scalability Limit

Bottlenecked by committee size & bandwidth

Theoretically scales with node count (polylogarithmic)

Bottlenecked by monolithic chain throughput

Prover Cost to Verify

Low (check M-of-N signatures)

Moderate (verify KZG proofs & sampling)

High (download full block data)

Time to Finality

< 2 seconds

< 20 seconds (sampling rounds)

12 minutes (Ethereum) to ~2 seconds (Solana)

Adoption Stage

Production (Celestia, Polygon Avail, EigenDA)

Production (Celestia, Avail), Emerging (Ethereum Proto-Danksharding)

Production (Base layer for all rollups)

Long-Term Viability

Scaling bottleneck for 100k+ TPS chains

Foundation for scalable modular blockchains

Gold standard for security, not scale

deep-dive
THE TRUST MINIMIZATION GAP

Why Data Availability Committees Are a Temporary Fix

DACs offer a pragmatic scaling path but reintroduce the trusted third-party risk that blockchains were built to eliminate.

DACs are trust-minimized, not trustless. A Data Availability Committee (DAC) is a permissioned set of entities that cryptographically attest to data availability, a model used by Arbitrum Nova and Polygon Avail. This reduces costs versus posting all data on-chain, but users must trust the committee's honesty.

The security model degrades to a multisig. If the committee colludes or fails, users cannot reconstruct state and prove fraud. This creates a single point of failure absent in pure rollups like those posting to Ethereum or Celestia.

DACs are a market signal, not an endpoint. Their adoption by major L2s proves demand for cheaper DA, accelerating R&D into scalable, trustless alternatives like data availability sampling (DAS) and EigenDA.

Evidence: Arbitrum Nova's DAC, with 7/10 signatures required, secures over $100M in TVL. This demonstrates market tolerance for practical trust trade-offs while pure cryptographic solutions mature.

protocol-spotlight
BEYOND THE COMMITTEE

The Post-DAC Contenders

Data Availability Committees (DACs) offer a pragmatic, low-cost on-ramp for scaling, but their security model is fundamentally weaker than pure L1 or cryptographic solutions. Here are the architectures competing to replace them.

01

Celestia & The Data Availability Layer

The Problem: DACs centralize trust in a small, known set of signers. The Solution: A dedicated blockchain that provides cryptographically guaranteed data availability via Data Availability Sampling (DAS).\n- Light nodes can verify data is available with minimal resources.\n- Creates a modular stack where execution and data are separate layers.\n- Enables sovereign rollups that control their own governance and upgrades.

~$0.01
Per MB Cost
1000+
Light Nodes
02

EigenDA & Restaking Security

The Problem: Dedicated DA layers bootstrap new security from scratch. The Solution: Leverage Ethereum's established validator set and economic security via restaking.\n- Ethereum validators opt-in to attest to data availability.\n- Security is slashed for malicious behavior, backed by $10B+ in restaked ETH.\n- Provides a native, cryptoeconomic DA solution for Ethereum rollups like Arbitrum and Optimism.

$10B+
Secured by ETH
Native
Ethereum Integration
03

Avail & Validity Proof-Driven DA

The Problem: Sampling and fraud proofs can have latency and complexity. The Solution: Use validity proofs (ZK) to create succinct guarantees of data availability and correctness.\n- Generates a ZK proof that data was published and encoded correctly.\n- Enables near-instant finality for light clients.\n- Aims for a unified layer combining DA, consensus, and settlement.

ZK Proofs
Core Tech
~2s
Light Client Finality
04

The Inevitable Hybrid: DACs as a Fallback

The Problem: Pure cryptographic DA can be more expensive for low-throughput chains. The Solution: Multi-mode systems that use a DAC for cheap, fast posting with a fallback to a robust DA layer.\n- Optimistic DA: Post data to a committee, with a dispute window to escalate to Celestia/EigenDA.\n- Dramatically reduces cost for 99% of blocks where no dispute occurs.\n- Exemplified by designs from Arbitrum Nova and Mantle.

-90%
Optimistic Cost
Fallback
To Crypto-DA
counter-argument
THE INCENTIVE REALITY

The Steelman: Why DACs Might Endure

Data Availability Committees offer a pragmatic, economically rational scaling path that pure cryptographic solutions cannot yet match.

Economic pragmatism dominates engineering purity. The market selects for cost and performance, not ideological alignment. DACs like those used by Celestia's sovereign rollups and Polygon Avail provide 99% of the security guarantees for a fraction of the cost of full data publication on Ethereum.

The trust spectrum is not binary. The security model of a 10-of-15 committee with slashing and fraud proofs is a quantum leap from a centralized sequencer. This is the same pragmatic trade-off that made Proof-of-Stake viable over Proof-of-Work.

DACs are a product, not a protocol. Entities like EigenDA and Avail package verifiable data attestations as a service. This abstracts complexity for developers, mirroring how AWS abstracted server infrastructure, creating a durable business model.

Evidence: The adoption trajectory is decisive. Arbitrum Nova, powered by the DAC from Offchain Labs, has processed over 300 million transactions, demonstrating that applications and users prioritize low fees and reliability over maximalist decentralization.

takeaways
WHY DACS ARE A TEMPORARY FIX

TL;DR for Builders and Investors

Data Availability Committees (DACs) offer a pragmatic scaling path but introduce centralization vectors that limit long-term viability.

01

The Security-Throughput Tradeoff

DACs sacrifice cryptoeconomic security for ~10,000 TPS and sub-$0.01 fees. This creates a single point of failure: the committee's multisig.\n- Key Risk: Collusion or compromise of a supermajority threshold (e.g., 7 of 10 members) can censor or forge state.\n- Temporary Value: Acceptable for app-specific rollups with <$1B TVL where speed-to-market trumps perfect decentralization.

7/10
Trust Assumption
<$0.01
Tx Cost
02

The Celestia & EigenDA Endgame

Pure DAC models are obsoleted by modular DA layers that provide cryptoeconomic guarantees. Projects like Celestia (data availability sampling) and EigenDA (restaking security) offer scalable, secure DA at competitive costs.\n- Key Shift: Builders migrate from trusted committees to verifiable, permissionless networks.\n- Market Signal: $1B+ in restaked ETH securing EigenDA demonstrates demand for trust-minimized scaling.

$1B+
Securing EigenDA
100+
Rollups Live
03

The Arbitrum Nova Playbook

Arbitrum Nova exemplifies the transitional use-case: a high-throughput chain for social/gaming apps, using a DAC (Data Availability Committee) for cost efficiency. Its success defines the DAC niche.\n- Strategic Move: It sits beside Arbitrum One (full Ethereum DA), proving a dual-rollup strategy.\n- Builder Takeaway: Use DACs for MVP launch & user acquisition, but architect for a seamless migration to a modular DA layer like EigenDA or Celestia.

~10k TPS
Target Throughput
Dual-Chain
Strategy
04

The Regulatory Attack Surface

A centralized DAC is a clear legal entity, creating regulatory risk for the entire chain. This contrasts with the jurisdictional ambiguity of a globally distributed validator set.\n- Key Threat: DAC members can be subpoenaed or sanctioned, threatening chain liveness.\n- Investor Diligence: Treat DAC-based chains as early-stage infrastructure; valuation must discount for this centralization premium and planned migration roadmap.

High
Legal Risk
Discount
Valuation Impact
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Why Data Availability Committees Are a Temporary Fix | ChainScore Blog