
Blockchain Storage Requirements Calculator
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Why It Matters
Celestia's modular architecture significantly reduces storage requirements compared to monolithic chains. This calculator shows how much storage you'd need for different blockchain architectures based on your transaction volume.
Key insight: With Celestia's Data Availability Sampling and Namespace Merkle Tree, validators only need to store ~10GB for a light client node, compared to 200GB+ for Bitcoin or 500GB+ for Ethereum.
Storage Requirements Comparison
Blockchain | Storage Requirement | Notes |
---|---|---|
Celestia | -- | Light client node with data availability sampling |
Ethereum | -- | Full node with execution and data availability |
Bitcoin | -- | Full node with execution and data availability |
When you hear the term "modular blockchain," the first name most developers mention today is Celestia. Launched in October 2023, Celestia flips the classic blockchain model on its head by stripping out execution and focusing purely on consensus and data availability. If you’re building a rollup, a sidechain, or any Layer‑2 solution, understanding Celestia’s architecture can save you months of engineering and give you a clear path to scalability.
Key Takeaways
- Celestia separates consensus, data availability, and execution, allowing developers to plug in any virtual machine.
- Data Availability Sampling (DAS) lets lightweight nodes verify block data without downloading full blocks.
- The Namespace Merkle Tree (NMT) organizes data by application‑specific namespaces, cutting down unnecessary data processing.
- Compared to monolithic chains like Bitcoin and Ethereum, Celestia offers higher throughput and lower storage requirements for validators.
- Recent upgrades, especially the Ginger upgrade, halve block time and improve network performance for rollup developers.
What is Celestia?
Celestia is a modular blockchain data availability network that provides consensus and data availability services while leaving execution to separate layers such as rollups. Founded by industry veterans like Mustafa Al‑Bassam and Ismail Khoffi, Celestia raised $55million and reached a $1billion valuation, signaling strong market confidence.
Modular Architecture Explained
Celestia’s design rests on three logical layers:
- Consensus Layer - Validators agree on the order of transaction blobs using Proof‑of‑Stake.
- Data Availability Layer - Nodes verify that the blobs are fully available without storing the whole block.
- Execution Layer - Not part of Celestia; developers deploy rollups or sidechains that read the data and execute transactions.
This split means a Celestia validator only needs to run a light client to prove data availability, dramatically reducing hardware costs.

Core Technologies Powering Celestia
The two innovations that make the modular model viable are Data Availability Sampling and the Namespace Merkle Tree.
Data Availability Sampling (DAS) allows a node to randomly request small pieces of a block and, with enough random samples, be confident the whole block is reconstructable. For a 1MB block, erasure coding expands it to 2MB, and sampling seven random pieces gives over 99% confidence that the remaining data is present.
Namespace Merkle Tree (NMT) organizes block data into separate namespaces, each corresponding to a dApp or rollup, so a node only pulls the namespace it cares about. This reduces bandwidth and storage dramatically, especially when many independent rollups share the same Celestia network.
Why Modular Beats Monolithic
Traditional blockchains-think Bitcoin and Ethereum-combine consensus, data availability, and execution in a single stack. As transaction volume grows, every node must process every transaction, creating a scalability bottleneck.
Celestia’s modularity flips this: execution is off‑loaded to rollups that can pick the VM they need (EVM, Cosmos SDK, custom Rust, etc.). Validators only need to confirm order and availability, so the network can scale linearly with the number of rollups without overburdening any single node.
Side‑by‑Side Comparison
Feature | Celestia (Modular) | Bitcoin (Monolithic) | Ethereum (Monolithic) |
---|---|---|---|
Primary Function | Consensus + Data Availability | Consensus + Execution + Data Availability | Consensus + Execution + Data Availability |
Node Storage Requirement | ~10GB (light client) | >200GB (full node) | >500GB (full node) |
Scalability Approach | Rollups handle execution, unlimited parallelism | In‑chain execution, limited by block size | EIP‑1559, sharding roadmap, but still single chain execution |
Consensus Mechanism | Proof‑of‑Stake | Proof‑of‑Work | Proof‑of‑Stake (post‑Merge) |
Block Time (after latest upgrade) | 6seconds (Ginger upgrade) | 10minutes | 12seconds (Ethereum mainnet) |
Projects Building on Celestia
Since its mainnet launch, several rollup‑focused projects have chosen Celestia as their data layer:
- Stride - a Cosmos‑based rollup that leverages Celestia’s NMT to isolate staking‑related data.
- Fuel Labs - building an Optimistic Rollup that runs EVM bytecode while reading transaction blobs from Celestia.
- Vex - a fast, permissionless rollup targeting DeFi, using Celestia’s DAS to keep validator hardware cheap.
These projects benefit from the ability to spin up a custom execution environment without needing to bootstrap their own consensus network.

Recent Developments - The Ginger Upgrade
On October252024, Celestia announced the Ginger upgrade a network upgrade that reduces block time from 12 seconds to 6 seconds, effectively doubling transaction throughput. The upgrade went live in December2024, cutting latency for rollup finality and improving overall user experience. Early metrics show a 45% increase in data‑availability proofs per second, confirming the network’s enhanced capacity.
Potential Challenges and Considerations
While Celestia’s model is powerful, developers should keep an eye on a few practical aspects:
- Learning Curve - Understanding the separation of layers and mastering DAS/NMT concepts requires time, especially for teams accustomed to monolithic chains.
- Validator Incentives - As the ecosystem grows, ensuring sufficient staking rewards for data‑availability validators will be crucial for network security.
- Interoperability - Integrating existing Ethereum contracts into a Celestia‑based rollup may need additional bridging solutions.
- Tooling Maturity - SDKs and monitoring tools are improving, but they’re not as battle‑tested as those for Bitcoin or Ethereum.
Addressing these points early can smooth the path to production‑grade rollups.
Quick Start Checklist for Building on Celestia
- Choose your execution environment (EVM, Cosmos SDK, custom VM).
- Set up a light‑client node to interact with Celestia’s DAS API.
- Define a unique namespace for your rollup using the NMT specification.
- Implement fraud‑proof or validity‑proof mechanisms to secure your rollup.
- Run a testnet deployment, monitor data‑availability samples, and iterate.
Frequently Asked Questions
What makes Celestia different from Ethereum?
Ethereum combines consensus, execution, and data availability in one stack, while Celestia only provides consensus and data availability. Execution on Celestia is delegated to separate rollups, which can use any VM they prefer.
How does Data Availability Sampling work?
A light node randomly requests small fragments of an erasure‑coded block. By sampling enough fragments (e.g., seven), the node can be >99% sure the entire block can be reconstructed, without downloading the whole block.
Can I run an EVM rollup on Celestia?
Yes. Projects like Fuel Labs already run Optimistic EVM rollups on Celestia, leveraging its data‑availability layer while executing transactions with the standard EVM bytecode.
Do I need to stake on Celestia to use its services?
Staking is optional for developers. You can read data from Celestia as a client without staking. However, if you want to run a validator that secures the network, you’ll need to lock up TIA tokens.
What is the Ginger upgrade and why does it matter?
The Ginger upgrade, launched in December2024, cut block time from 12seconds to 6seconds. Faster blocks reduce latency for rollup finality and increase the number of data‑availability proofs per second, making the network more responsive for users.
There are 1 Comments
Hanna Regehr
Celestia's modular architecture changes the storage calculus for anyone thinking about running a node.
By separating consensus from data availability you can off‑load the heavy‑weight history to a specialized layer.
That means a validator only needs to keep a sampled slice of the data, not the full chain.
In practice this translates to roughly ten gigabytes for a light client, which is a fraction of what Bitcoin or Ethereum demand.
The calculator in the post gives you a quick estimate based on daily transaction volume.
If you plug in a modest 100,000 tx/day, Celestia stays under the 10 GB mark while Ethereum would balloon past 500 GB.
Even if you multiply the volume by ten, the storage growth in Celestia stays almost linear thanks to the sampling algorithm.
That linearity is a direct benefit of the namespace Merkle tree design, which isolates each shard's data.
Operators can therefore budget hardware using off‑the‑shelf SSDs without resorting to enterprise storage arrays.
Security isn’t sacrificed; the data availability proofs ensure that missing data is detected quickly.
Because the proof set is small, network bandwidth requirements also drop dramatically.
For developers, this opens the door to more lightweight wallets that still maintain full validator security.
From a decentralization perspective, lower barriers to entry mean more participants can run nodes.
That, in turn, improves the resilience of the overall ecosystem against censorship.
So the storage savings aren’t just a cost metric; they’re a catalyst for a healthier, more inclusive blockchain network.
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