The 2026 Data Availability Race: Celestia, EigenDA, and Avail's Battle for Blockchain Scalability
Every Layer 2 you use relies on a hidden infrastructure most users never think about: data availability layers. But in 2026, this quiet battlefield has become the most critical piece of blockchain scalability, with three giants—Celestia, EigenDA, and Avail—racing to process terabits of rollup data per second. The winner doesn't just capture market share; they define which rollups survive, how much transactions cost, and whether blockchain can scale to billions of users.
The stakes couldn't be higher. Celestia commands roughly 50% of the data availability market after processing over 160 gigabytes of rollup data. Its upcoming Matcha upgrade in Q1 2026 will double block sizes to 128MB, while the experimental Fibre Blockspace protocol promises a staggering 1 terabit per second throughput—1,500 times their previous roadmap target. Meanwhile, EigenDA has achieved 100MB/s throughput using a Data Availability Committee model, and Avail has secured integrations with Arbitrum, Optimism, Polygon, StarkWare, and zkSync for its mainnet launch.
This isn't just infrastructure competition—it's a battle over the fundamental economics of Layer 2 networks. Choosing the wrong data availability layer can increase costs by 55 times, making the difference between a thriving rollup ecosystem and one strangled by data fees.
The Data Availability Bottleneck: Why This Layer Matters
To understand why data availability has become blockchain's most important battlefield, you need to grasp what rollups actually do. Layer 2 rollups like Arbitrum, Optimism, and Base execute transactions off-chain to achieve faster speeds and lower costs, then post transaction data somewhere secure so anyone can verify the chain's state. That "somewhere secure" is the data availability layer.
For years, Ethereum's mainnet served as the default DA layer. But as rollup usage exploded, Ethereum's limited block space created a bottleneck. Data availability fees spiked during periods of high demand, eating into the cost savings that made rollups attractive in the first place. The solution? Modular data availability layers purpose-built to handle massive throughput at minimal cost.
Data availability sampling (DAS) is the breakthrough technology enabling this transformation. Instead of requiring every node to download entire blocks to verify availability, DAS allows light nodes to probabilistically confirm data is available by sampling small random chunks. More light nodes sampling means the network can safely increase block sizes without sacrificing security.
Celestia pioneered this approach as the first modular data availability network, separating data ordering and availability from execution and settlement. The architecture is elegant: Celestia orders transaction data into "blobs" and guarantees their availability for a configurable period, while execution and settlement happen on layers above. This separation allows each layer to optimize for its specific function rather than compromising on all fronts like monolithic blockchains.
By mid-2025, more than 56 rollups were using Celestia, including 37 on mainnet and 19 on testnet. Eclipse alone has posted over 83 gigabytes through the network. Every major rollup framework—Arbitrum Orbit, OP Stack, Polygon CDK—now supports Celestia as a data availability option, creating switching costs and network effects that compound Celestia's early-mover advantage.
Celestia's Two-Pronged Attack: Matcha Upgrade and Fibre Blockspace
Celestia isn't resting on its market share. The project is executing a two-phase strategy to cement dominance: the near-term Matcha upgrade bringing production-ready scalability improvements, and the experimental Fibre Blockspace protocol targeting 1 terabit per second of future throughput.
Matcha Upgrade: Doubling Down on Production Scale
The Matcha upgrade (Celestia v6) is currently live on the Arabica testnet with mainnet deployment expected in Q1 2026. It represents the largest single capacity increase in Celestia's history.
Core improvements include:
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128MB block size: CIP-38 introduces a new high-throughput block propagation mechanism, increasing maximum block size from 8MB to 128MB—a 16x jump. The data square size expands from 128 to 512, and maximum transaction size grows from 2MB to 8MB.
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Reduced storage requirements: CIP-34 cuts Celestia's minimum data pruning window from 30 days to 7 days plus 1 hour, slashing storage costs for bridge nodes from 30TB to 7TB at projected throughput levels. For rollups running high-volume applications, this storage reduction translates directly to lower operational costs.
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Light node optimization: CIP-35 introduces pruning for Celestia light nodes, allowing them to retain only recent headers rather than the entire chain history. Light node storage requirements drop to approximately 10GB, making it feasible to run verification nodes on consumer hardware and mobile devices.
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Inflation cut and interoperability: Beyond scalability, Matcha cuts protocol inflation from 5% to 2.5%, potentially making TIA deflationary if network usage grows. It also removes the token filter for IBC and Hyperlane, positioning Celestia as a routing layer for any asset across multiple ecosystems.
In testing environments, Celestia achieved approximately 27 MB/s throughput with 88 MB blocks in the Mammoth Mini devnet, and 21.33 MB/s sustained throughput with 128 MB blocks in the mamo-1 testnet. These aren't theoretical maximums—they're production-proven benchmarks that rollups can rely on when architecting for scale.