Data as of Aug 25, 2026 · Based on 314 AI responses from ChatGPT Search and Google AI Mode · See how Parse measures this
To store large amounts of data at the lowest cost, avoid writing directly to a main blockchain. Instead, use specialized decentralized storage networks like Arweave or
Filecoin to host the data, and store only a compact data hash on a fast blockchain like
Polygon or for integrity. This two-part architecture provides the best balance of low costs and permanent, verifiable storage for high-volume application requirements.
Brands AI recommends here
Named in 73% of answers
Best for permanent, long-term archival of large files. It uses a one-time payment model to fund storage for centuries, making it highly sustainable for immutable data that never needs to be deleted.
Named in 72% of answers
Most cost-effective choice for extremely large-scale data storage. It is ideal for massive datasets where you need low-cost decentralized archival space and do not require the permanent smart-contract-native retention.
Named in 70% of answers
Named in 61% of answers
When building a dApp that requires storing a **large amount of data** , using traditional smart-contract blockchains (like Ethereum, Solana, or BNB Chain) directly for data payload is economically unviable. Storing megabytes or gigabytes via contract storage variables on general-purpose execution chains will drain…
When building a dApp that requires storing a large amount of data , using traditional smart-contract blockchains (like Ethereum, Solana, or BNB Chain) directly for data payload is economically unviable. Storing megabytes or gigabytes via contract storage variables on general-purpose execution chains will drain funds rapidly.
Instead, the ecosystem divides large data handling into two categories: Permanent On-Chain/Permaweb Storage (pay once, store forever) and Decentralized Cloud/Data Availability (DA) Networks (subscription/rental-based or modular rollups).
The cheapest networks for large-scale data storage depend on your exact data persistence requirements:
Comparison Summary
| Network / Token | Storage Model | Cost Structure | Best For |
|---|---|---|---|
| Arweave (AR AR A R) | Permanent | One-time upfront fee | Permanent, immutable files & archives |
| Filecoin (FIL FIL F I L) | Rental / Market | Recurring time-based subscription | Massive raw data, cold storage, low monthly gigabyte rates |
| Celestia (TIA TIA T I A) | Modular DA | Pay-per-blob (per transaction) | App-chains and rollups needing temporary high-throughput data posting |
To help narrow down the ideal network, could you share:
If by **“on-chain” you mean the data itself must be permanently/cryptographically committed to a blockchain or blockchain-native storage network**, **Filecoin (FIL)** is currently one of the cheapest serious options for large-scale storage. ### Best options Network/token | Approx. storage economics | Best for
If by “on-chain” you mean the data itself must be permanently/cryptographically committed to a blockchain or blockchain-native storage network, Filecoin (FIL) is currently one of the cheapest serious options for large-scale storage.
| Network/token | Approx. storage economics | Best for |
|---|---|---|
| Filecoin (FIL) | ~$2.50/TiB/month on current Filecoin Onchain Cloud pricing, with minimum 2 copies | Large datasets / lowest recurring cost |
| Celestia (TIA) | Pay-per-byte blobspace; designed for inexpensive data availability | Rollups, temporary/DA data |
| Arweave (AR) | Roughly several dollars per GB once, rather than monthly | Permanent archival data |
| 0G | ~$11/TB/month on its Turbo storage tier | High-throughput application data |
| Ethereum | Extremely expensive for large raw data | Small critical state/commitments only |
Filecoin's current official pricing is $2.50/TiB/month per copy, with two copies required for the Warm Storage Service, plus a small proving fee.
But there's an important distinction: if your dApp needs actual smart-contract state that contracts can read and mutate directly, Filecoin isn't necessarily the answer. For large datasets, the usual architecture is:
Store bulk data on Filecoin/Arweave → put the CID/hash/metadata on a smart-contract chain. That can reduce costs enormously. A recent study, for example, found that putting a CID on-chain rather than the underlying 7-kB file reduced gas consumption by 93.9% in its test.
If you tell me roughly how many GB/TB you need to store, whether it must be permanent, and how frequently users will read/write it, I can calculate the cheapest architecture (including FIL vs TIA vs AR vs Solana/Sui/etc.) for your dApp.
If a dApp needs to write a **large amount of data on-chain**, the cheapest option is usually **not a traditional smart-contract blockchain token network**. The answer depends on what you mean by “on-chain”: Use case | Usually cheapest choice | Token | Why --- | --- | --- | ---
If a dApp needs to write a large amount of data on-chain, the cheapest option is usually not a traditional smart-contract blockchain token network. The answer depends on what you mean by “on-chain”:
| Use case | Usually cheapest choice | Token | Why |
|---|---|---|---|
| Permanent archival data (NFT metadata, documents, datasets) | Arweave | AR | One-time payment for permanent storage; optimized for immutable data |
| Cheap decentralized storage (not necessarily permanent) | Filecoin | FIL | Very low storage market prices; optimized for bulk storage |
| Data availability for rollups | Celestia | TIA | Designed for publishing large blobs cheaply |
| Actual smart-contract state storage | Low-cost L1/L2 chains | varies | Still much more expensive than storage networks |
Filecoin Onchain Cloud Documentation 0G### If you literally mean "store bytes in a blockchain ledger"
Among major smart-contract chains, costs vary heavily with gas prices, but Ethereum L1 is generally not competitive for bulk storage. Ethereum storage writes are especially expensive because every validator stores and replicates the state. Ethereum's own documentation notes that contract storage is the most expensive form of data storage, while calldata and blob approaches are cheaper alternatives for certain use cases.
For most dApps:
Trying to put gigabytes directly into an L1 smart contract is usually economically impractical.
If you tell me the approximate volume (e.g., 10 GB/day, 1 TB, 100 TB) and whether the data must be permanent, mutable, or queryable on-chain, I can narrow it down to the cheapest network.
If a decentralized application (dApp) needs to write a **large amount of data** , storing it directly in traditional smart contract state (like on Ethereum or Solana main state) is economically unfeasible and prohibitively…
If a decentralized application (dApp) needs to write a large amount of data , storing it directly in traditional smart contract state (like on Ethereum or Solana main state) is economically unfeasible and prohibitively expensive.
Instead, the architecture depends on whether you mean Permanent On-Chain Data/Archival Storage, Data Availability (DA) Layers for rollups, or Decentralized File Storage.
Summary Recommendation
To help narrow down the exact network, tell me:
If a dApp needs to handle a **large amount of data** , storing it directly inside standard smart contract state (on traditional execution blockchains like Ethereum, Solana, or Polygon) is economically unviable. Storing gigabytes on-chain on Ethereum costs hundreds of thousands to millions of dollars per gigabyte, and…
If a dApp needs to handle a large amount of data , storing it directly inside standard smart contract state (on traditional execution blockchains like Ethereum, Solana, or Polygon) is economically unviable. Storing gigabytes on-chain on Ethereum costs hundreds of thousands to millions of dollars per gigabyte, and even low-fee chains become cost-prohibitive at scale.
Instead, the architecture for a data-heavy dApp requires using a decentralized data storage or data availability (DA) network , and then storing only a lightweight cryptographic proof or content identifier (C I D cap C cap I cap D𝐶𝐼𝐷) on the execution blockchain.
The best token networks for this depend on whether you need permanent storage or pay-as-you-go leasing:
To help narrow down the most cost-effective network for your specific architecture, could you share:
If by **“on-chain” you mean the data itself must be stored permanently and retrievable from the blockchain**, **Sui (SUI)** is one of the strongest candidates for cheap native on-chain storage. - **Sui:** Its storage fee is paid upfront and is designed to fund storage indefinitely. Sui currently charges **100 storage…
If by “on-chain” you mean the data itself must be stored permanently and retrievable from the blockchain, Sui (SUI) is one of the strongest candidates for cheap native on-chain storage.
If your dApp needs to put large amounts of arbitrary data directly into blockchain state, I'd investigate Sui first, then Solana.
If you need gigabytes/terabytes of data, however, I would not put the entire dataset directly on a conventional L1. A much cheaper architecture is:
Sui/Solana → store hash/metadata on-chain → Filecoin/Arweave/Celestia for the bulk data.
If you tell me roughly how much data you're talking about (e.g. 100 MB, 10 GB, 1 TB) and whether it must be permanent, I can calculate the approximate cost on SUI vs SOL vs ETH vs TIA vs FIL/Arweave and identify the cheapest architecture.
If a dApp needs to write a **large amount of data**, the cheapest option is usually **not a traditional smart-contract blockchain’s storage layer**. Storing bulk data directly in Ethereum/Solana/Avalanche-style contract storage is extremely expensive. Instead, most dApps use a **decentralized storage network** and put…
If a dApp needs to write a large amount of data, the cheapest option is usually not a traditional smart-contract blockchain’s storage layer. Storing bulk data directly in Ethereum/Solana/Avalanche-style contract storage is extremely expensive. Instead, most dApps use a decentralized storage network and put only hashes/references on-chain.
The cheapest choice depends on what you mean by "on-chain":
| Network/token | Token | Best for | Relative cost |
|---|---|---|---|
| Filecoin | FIL | Huge datasets, archives, dApp data blobs | Usually among the cheapest |
| Arweave | AR | Permanent, immutable storage | More expensive upfront |
| Ethereum | ETH | True L1 storage | Very expensive |
| Solana | SOL | Small/medium app state, high throughput | Not designed for massive storage |
For terabytes of application data, I would generally look first at Filecoin (FIL). Its storage marketplace is designed for large-scale data storage, and current published pricing examples put Filecoin storage in the low-cost range (for example, Filecoin documentation lists storage pricing around $2.50/TiB/month for its onchain cloud service). docs.filecoin.cloud Historical comparisons also frequently show Filecoin as one of the lowest-cost decentralized storage options.
Use Arweave (AR) instead if your requirement is:
Arweave uses a pay-once model, but that permanence comes at a higher upfront price than typical Filecoin storage.
For a typical dApp architecture:
User data / files / media
↓
Filecoin (cheap bulk storage) or Arweave (permanent storage)
↓
Store CID/hash + metadata on a cheap blockchain
If you literally require every byte to be inside a blockchain’s consensus state, the cheapest networks are usually high-throughput chains with low fees, but they still lose badly to purpose-built storage networks for large datasets.
A practical ranking for large dApp storage:
If you tell me the approximate size (GB/TB), whether data must be permanent, and whether users need fast reads/writes, I can suggest a more specific architecture.
If your dApp needs to write a **large amount of data** , storing it directly via standard smart contract state storage on a general-purpose Layer 1 (like Ethereum or Solana) is **prohibitively expensive** and architecturally discouraged. For large payloads (megabytes to gigabytes), you should separate your app’s…
If your dApp needs to write a large amount of data , storing it directly via standard smart contract state storage on a general-purpose Layer 1 (like Ethereum or Solana) is prohibitively expensive and architecturally discouraged. For large payloads (megabytes to gigabytes), you should separate your app’s logic/settlement layer from its data storage layer by using a Decentralized Storage Network (DSN) or a Data Availability (DA) layer.
The most cost-effective token networks and protocols for large-scale data storage depend on your retention requirements:
To help pinpoint the exact best network, could you tell me:
If you mean **“which blockchain/token is cheapest for a dApp that needs to keep a large amount of data in persistent on-chain state?”**, there isn't one universal winner—but **NEAR, Algorand, and Solana are among the strongest candidates**, with the answer depending heavily on how the data is written and whether the…
If you mean “which blockchain/token is cheapest for a dApp that needs to keep a large amount of data in persistent on-chain state?”, there isn't one universal winner—but NEAR, Algorand, and Solana are among the strongest candidates, with the answer depending heavily on how the data is written and whether the storage deposit is recoverable.
For genuinely persistent smart-contract storage, I would look closely at NEAR and Algorand first. For very large datasets, however, I would usually not put the raw data directly into L1 state; a decentralized storage network such as Filecoin/Arweave, with hashes/commitments on an L1, is often dramatically cheaper.
| Network | Storage model | Rough implication |
|---|---|---|
| NEAR (NEAR) | 1 NEAR covers ~100 KB of contract storage | Very straightforward and predictable |
| Algorand (ALGO) | Storage requires refundable minimum-balance deposit; boxes are 0.0004 ALGO/byte | Potentially very competitive for large blobs |
| Solana (SOL) | Refundable storage deposit; planned 2026 reduction to 696 lamports/byte | Becoming considerably cheaper |
| Filecoin (FIL) | Decentralized storage, not L1 state | Far cheaper for GB/TB-scale data |
| Ethereum L1 | Calldata/state | Generally unsuitable for large persistent datasets |
NEAR's published storage price is 1 NEAR per 100 KB, or roughly 10 NEAR/MB and 10,000 NEAR/GB as a locked storage deposit. The deposit is released when the storage is removed.
Algorand is particularly interesting for large chunks of arbitrary data. Its Box storage currently requires 0.0004 ALGO per byte, plus a small fixed amount per box, and that minimum-balance requirement is released when the box is destroyed. That's about 0.4 ALGO per KB or 400 ALGO per MB.
Solana is changing materially in August 2026. Its storage deposit is being reduced by 90%, from 6,960 to 696 lamports per byte. The deposit is refundable when the account is closed.
If by “on-chain” you mean:
The actual bytes must be replicated and permanently maintained by blockchain validators as smart-contract state
then I'd investigate NEAR/Algorand/Solana.
If you mean:
The data needs decentralized, censorship-resistant, verifiable permanent storage, but the dApp doesn't need every validator to maintain it as executable state
then Filecoin or Arweave + an on-chain hash/commitment is usually a much better architecture.
For example, Filecoin's current storage pricing is around $2.50/TiB/month per copy, which is orders of magnitude different from maintaining the same data as L1 state.
I'd structure it like:
dApp → decentralized storage (Filecoin/Arweave) → content hash/CID on-chain
rather than:
dApp → gigabytes of raw data directly into L1 state
That gives you inexpensive decentralized storage while retaining an immutable on-chain proof of exactly which data belongs to the application.
If you tell me roughly how much data you're talking about (e.g. 100 MB, 10 GB, 1 TB) and whether it must be permanently retrievable on-chain, I can calculate the actual dollar cost across NEAR, Solana, Algorand, Sui, Ethereum L2s, Filecoin and Arweave and identify the cheapest option.
When building a dApp that requires writing **large amounts of data** , storing that data *directly* on a traditional smart contract blockchain (like Ethereum or Solana mainnet state storage) is cost-prohibitive. Instead, dApps leverage **Decentralized Storage Networks (DSNs)** or **Data Availability (DA)** layers…
When building a dApp that requires writing large amounts of data , storing that data directly on a traditional smart contract blockchain (like Ethereum or Solana mainnet state storage) is cost-prohibitive. Instead, dApps leverage Decentralized Storage Networks (DSNs) or Data Availability (DA) layers paired with specific tokens.
The "cheapest" network depends heavily on whether you need temporary/leased storage or permanent storage.
If your dApp data does not need to live on-chain forever (or can be renewed periodically via smart contracts), decentralized storage marketplaces are dramatically cheaper than traditional blockchains.
If your dApp requires absolute permanence (write once, store forever with no renewal required), Arweave is the industry standard.
If by "on-chain" you mean you need the data secured by consensus and instantly available to execution clients (like rollups or app-specific chains):
Summary Recommendation
To help narrow down the ideal network, could you share: