How to choose decentralized storage for a Web3 app: 5 options compared
Putting every file directly on a blockchain is rarely a practical product architecture. Media, NFT metadata, governance documents, user content, backups, and application files need storage that is accessible, durable, and reasonably priced. The blockchain usually stores a reference, a content identifier, a hash, or a permission model. The data itself lives elsewhere.
Decentralized storage is not one category of interchangeable tools. IPFS gives applications a content-addressing and retrieval layer. Filecoin creates a market for provable storage deals. Arweave is designed for permanent decentralized storage. Pinata and Lighthouse Storage make those networks easier to use through developer APIs and services.
This guide compares five tools from the Chainstack Marketplace by the storage decision they help you make. The right answer may be a combination of them. For example, a product can publish content through IPFS, use a service to manage uploads and gateways, then add a persistence strategy for the data it cannot afford to lose.
Start with the retention decision
| If your application needs to… | Start by comparing… | Why |
|---|---|---|
| Address and retrieve public content by a stable content identifier | IPFS | IPFS is built around content addressing, routing, and peer-to-peer transfer. |
| Create storage deals with verifiable storage providers | Filecoin | Filecoin’s storage market coordinates storage deals and cryptographic proofs of storage. |
| Publish data that is meant to remain available permanently | Arweave | Arweave is designed for permanent, decentralized data storage. |
| Upload, retrieve, and serve IPFS content through an API and gateway | Pinata | Pinata provides file APIs, SDKs, private IPFS options, and dedicated gateways. |
| Store, encrypt, and retrieve files through IPFS and Filecoin tooling | Lighthouse Storage | Lighthouse provides an application-focused layer for decentralized file storage. |
1. IPFS

IPFS, the InterPlanetary File System, is a set of open protocols for content addressing, routing, and transferring data over peer-to-peer networks. Instead of retrieving a file from a location such as a server URL, applications can retrieve content using a content identifier (CID) derived from the content itself.
That makes IPFS a useful base layer for public Web3 content. NFT metadata can reference a CID. A DApp can load static assets from IPFS. A governance proposal can point to a document whose content is independently verifiable. If the file changes, it produces a new CID, which makes content changes explicit rather than silently replacing data at the same URL.
The important caveat is persistence. A CID identifies content, but it does not by itself guarantee that someone will keep serving that content forever. The IPFS documentation makes the distinction clear: content can be provided from your own node or through a pinning service. Plan for who will retain the data, how users will retrieve it, and what happens if a gateway or provider changes.
Choose IPFS if: you need content-addressed public data, portable CIDs, IPFS-native retrieval, or a standard way to reference offchain content from Web3 applications.
Think twice if: your only requirement is “store files forever.” IPFS is a foundational protocol. You still need a retention and retrieval strategy around it.
2. Filecoin

Filecoin is a decentralized storage network built around storage deals. A client and a storage provider agree on terms, the deal is published onchain, and the provider proves that it continues to store the data.
Filecoin is relevant when the application needs more than an addressable copy of a file. It gives teams a market-based storage model with cryptographic storage proofs. It can be a fit for datasets, archives, large files, and content that needs a defined persistence plan. Filecoin’s own documentation also notes that storage helpers can simplify the deal-making process and use IPFS for fast retrieval.
Do not confuse Filecoin with a simple object storage API. Direct deal design brings decisions about duration, provider selection, retrieval, renewal, and data packaging. For small files or product teams that want a simpler implementation, a storage on-ramp can be the more practical route.
Choose Filecoin if: you need provable storage deals, a decentralized provider market, and a plan for longer-term retention.
Think twice if: you are only uploading small user-generated files and need a quick application integration. Start with a developer service that abstracts the deal lifecycle.
3. Arweave

Arweave is designed for permanent, decentralized data storage. Its protocol documentation describes a global network of computers that stores multiple copies of uploaded data and sets incentives so data is retained over time.
That makes Arweave a distinct architectural choice. It can be useful for public records, finalized NFT metadata, published research, historical datasets, and other data that should remain accessible without relying on a renewal process. The permanence is the feature, but it also raises the bar for what should be uploaded.
Before you publish data to a permanent network, confirm that it is public, legal to distribute, complete, and appropriate to preserve. Do not use permanent storage for secrets, data that needs routine deletion, or files with uncertain ownership rights.
Choose Arweave if: the application needs public data intended to remain available permanently and the team is comfortable making that commitment.
Think twice if: users need to edit, remove, or revoke access to the data later. Those needs require a different design.
4. Pinata
Pinata is an application-facing service for storing and retrieving content. Its current developer platform includes file upload APIs, SDKs, dedicated IPFS gateways, private IPFS features, groups, API keys, and webhooks.
Pinata is useful when the team wants to use IPFS without turning gateway management, upload flows, and content operations into a separate infrastructure project. For example, a product can upload media through the SDK, receive a CID, and serve that content through a dedicated gateway. It can also organize content by application and control how its team accesses operational features.
Pinata does not replace the need to think about content lifecycle. Decide which files are public, who controls the upload credentials, how long data must remain available, and how the application behaves if content is unavailable. It does make the common parts of IPFS application development considerably more approachable.
Choose Pinata if: you need developer-friendly uploads, IPFS retrieval, dedicated gateway control, and operational features around content.
Think twice if: your architecture needs to negotiate direct storage deals or requires permanent publication by design. Use the underlying storage model that matches that requirement.
5. Lighthouse Storage
Lighthouse Storage provides application tooling for decentralized file storage. Its documentation includes IPFS and Filecoin uploads, file encryption and retrieval, and other storage modes such as IPFS with Walrus and an S3-compatible API.
Lighthouse is worth comparing when your product needs to add decentralized storage to an application, not just learn the underlying protocols. Its IPFS and Filecoin tooling can be useful for teams that need an SDK-oriented upload path and encryption options. The range of storage modes means you should choose the specific product path first rather than treating every Lighthouse feature as one deployment model.
Choose Lighthouse Storage if: you need an SDK-driven way to upload, encrypt, and retrieve application files through IPFS and Filecoin tooling.
Think twice if: the product only needs a public CID and no application service layer. In that case, IPFS with an appropriate retention plan may be enough.
Two storage patterns that work well
Public metadata and media
This is common for NFTs, collectible content, public documents, and application assets.
- Use IPFS to produce content-addressed references.
- Use Pinata or Lighthouse Storage to handle uploads, retrieval, and developer operations.
- Choose Filecoin or another persistence layer when retention requirements justify it.
- Store the CID or URI onchain only after the content is final.
The critical detail is immutability. A CID changes when the content changes. Treat that as a release process, not an incidental upload detail.
Public data that should not change
This is common for published reports, historical records, final datasets, and archival content.
- Confirm that the data is suitable for permanent public availability.
- Publish it to Arweave.
- Keep a clear record of the transaction ID and the application surfaces that reference it.
- Do not use this pattern for credentials, private user data, or content that may need to be withdrawn.
What to validate before production
The storage tool is only one part of the design. Before release, confirm:
- Who owns the upload credentials and the provider account?
- Does the application need public, private, encrypted, or revocable access?
- What is the persistence commitment for each file class?
- Can a user retrieve the file without depending on one gateway or one application server?
- How do you detect missing content or broken metadata references?
- What is the recovery path if an upload fails after an onchain transaction has already been sent?
- Which files are safe to make permanent and public?
How Chainstack fits into the stack
Decentralized storage tools manage files, CIDs, storage deals, or gateways. Chainstack provides the blockchain connectivity around that storage layer. Use RPC and WebSocket endpoints to mint assets that reference stored metadata, read and verify onchain content URIs, watch contract events, and confirm that an application’s onchain state matches the files it expects to retrieve.
For example, an NFT application may upload metadata through Pinata or Lighthouse Storage, receive an IPFS CID, write that URI through an Ethereum smart contract, then use Chainstack to read the token URI and monitor the mint transaction. The storage and RPC layers have different jobs, but the product depends on both being reliable.