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Telecommunications ConnectivityTop 10 Best Decentralized Cloud Storage Services of 2026
Editorial roundup of decentralized cloud storage services, comparing Infura, Sia Foundation, and Chainstack for hosting and data reliability tradeoffs.
How we ranked these tools
Vendors set the topic, but our editors set the inclusion criteria and the evaluation framework before research starts.
Agents extract product evidence with provenance, then collect written reviews and transcribe video reviews and podcasts.
Framework: Features 40% · Ease 30% · Value 30%
Gitnux may earn a commission through links on this page — this does not influence rankings. Editorial policy
Infura is the best pick for decentralized storage projects anchored by blockchain apps because its production-grade RPC routing standardizes how backends read state and submit transactions, while Chainstack is the better alternative for teams that want gateway-style, API-first storage access with predictable retrieval.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Infura
Production-grade RPC routing that standardizes how application services read chain state and submit transactions.
Best for: Fits when decentralized storage is anchored by blockchain apps needing reliable RPC access and operational governance.
Sia Foundation
Editor pickS3-compatible gateway access over a contract-based, encrypted decentralized storage workflow built for automation.
Best for: Fits when teams need automated, decentralized storage with client-controlled encryption and contract lifecycle management.
Chainstack
Editor pickGateway-style access for decentralized content delivered through an application-friendly API integration.
Best for: Fits when backend teams need decentralized storage via a stable API with predictable retrieval behavior.
Comparison Table
Infura
enterprise_vendorInfrastructure provider offering API access to IPFS and decentralized networks.
Production-grade RPC routing that standardizes how application services read chain state and submit transactions.
Infura fits when decentralized storage tooling sits inside a broader blockchain app stack, because it reduces friction in how apps talk to networks that anchor content and manage permissions. The integration depth is strongest for teams that already model application flows around RPC calls, event streams, and deterministic request behavior. The admin experience is oriented toward operational governance of API usage and environment configuration rather than end-user storage management.
A tradeoff appears when requirements demand a native client-side object storage interface such as direct bucket workflows or content pinning control inside Infura. It works best in a setup where decentralized storage nodes and retrieval logic run elsewhere while Infura supplies the application-to-network communication layer.
- +RPC-focused infrastructure reduces network access complexity for app backends
- +Consistent API surface supports event and transaction workflow integration
- +Environment configuration supports clean separation between test and production
- +Operational controls support governance of API usage patterns
- –Not a dedicated decentralized object storage UI for end-user file management
- –Deep storage lifecycle controls depend on pairing with a separate storage network
Web3 application backend teams
Submit transactions while fetching chain events
Fewer integration failures
Developer platform teams
Standardize network access across products
More predictable deployments
Show 1 more scenario
Security-focused engineering teams
Govern key usage across services
Tighter access control
Operational controls for API access help teams reduce ad hoc network calls from scattered components.
Best for: Fits when decentralized storage is anchored by blockchain apps needing reliable RPC access and operational governance.
Sia Foundation
enterprise_vendorMaintainer of the Sia decentralized cloud storage network and ecosystem grants.
S3-compatible gateway access over a contract-based, encrypted decentralized storage workflow built for automation.
Sia Foundation uses client-side encryption and distributed storage with data sharding and erasure coding, so availability depends on network replication and contract terms rather than a single provider. The service provides API-driven access patterns that suit automation, including programmatic upload, retrieval, and integration into internal systems that already track object identifiers. Gateways and tooling support practical access for applications that need HTTP-style workflows, while still keeping the encryption model client-controlled.
A key tradeoff is that operational discipline matters more than it does with centralized storage, because consistent encryption configuration and key handling determine usability and recovery outcomes. It fits teams that need decentralized, contract-based storage for internal archives, software artifacts, or long-lived content sharing where automation and governance around access and encryption keys are already part of the process.
- +Client-side encryption keeps storage hosts out of plaintext access
- +Contract-based storage supports programmatic provisioning and lifecycle control
- +S3-compatible access patterns simplify integration into existing systems
- +Data sharding and redundancy reduce single-node dependency risks
- –Key management and recovery planning require ongoing governance discipline
- –Operational configuration can add friction for teams seeking fully managed workflows
DevOps teams
Automated artifact storage with governance
Repeatable deployment artifacts
Security-focused IT
Long-term encrypted archives
Reduced plaintext exposure
Show 1 more scenario
Platform engineering teams
Gateway-backed decentralized sharing
Controlled content distribution
Applications use gateway access patterns while staying aligned to encrypted storage constraints.
Best for: Fits when teams need automated, decentralized storage with client-controlled encryption and contract lifecycle management.
Chainstack
specialistManaged services provider for blockchain nodes and IPFS decentralized storage.
Gateway-style access for decentralized content delivered through an application-friendly API integration.
Chainstack is a fit for teams that want decentralized storage reach without building their own node discovery, retrieval routing, or storage orchestration from scratch. The service centers on API-based interactions for uploads and reads, which reduces integration friction for backend systems that already use programmatic object workflows. Admin expectations are oriented toward service-level controls like key handling boundaries and request governance rather than consumer-grade sharing UIs. Integration depth is strongest when engineering can map data lifecycles to the provider’s storage operations and access patterns.
A tradeoff appears in governance visibility and policy granularity, since decentralized storage workflows often rely on provider-managed execution paths rather than fully user-owned control planes. Chainstack works best when workloads can tolerate the operational model of gateway-style access and when teams can design retention and access rules around the provider’s delivery behavior. Usage is most straightforward for backend services that need predictable read paths, consistent addressing for stored objects, and automation through stable endpoints.
Standout engineering fit shows up when an application already treats storage as an external dependency and can route failures, retries, and throttling through its own middleware.
- +API-first integration pattern suited to backend storage automation
- +Managed access paths reduce build effort versus running decentralized clients
- +Clear separation between storage operations and application lifecycle
- +Predictable retrieval flow for application-grade read requests
- –Fine-grained governance controls can be limited versus self-managed networks
- –Client-side workflows may require extra engineering around encryption boundaries
Backend engineers
Automate object storage for microservices
Lower integration and ops burden
Security-focused product teams
Implement encryption before storage write
Reduced exposure of raw data
Show 1 more scenario
Data platform teams
Stage artifacts for distributed retention
Simpler artifact lifecycle management
Platforms place artifacts into decentralized storage and retrieve them through consistent programmatic access paths.
Best for: Fits when backend teams need decentralized storage via a stable API with predictable retrieval behavior.
Internxt
specialistProvider of privacy-focused, decentralized cloud storage services for individuals and businesses.
End-to-end encrypted file handling designed to keep content private during storage and sharing.
Internxt delivers decentralized cloud storage built around encrypted file handling and share workflows that work across devices. The service focuses on personal and business storage without requiring users to run local infrastructure for availability.
- +Encrypted storage flow fits personal and small business sharing needs
- +Browser-first organization supports cross-device access without local hosting
- +Collaboration controls are straightforward for shared folders and links
- +Decentralized architecture aligns with privacy goals for stored content
- –Automation and API surface feel limited for advanced provisioning
- –Fine-grained RBAC and audit log depth are not its focus
- –Performance tuning for large libraries is constrained
- –Key recovery and governance workflows require careful user discipline
Households and individuals
Store and organize private documents
Personal files stay cross-device
Privacy-conscious SMBs
Centralize business documents securely
Business files share securely
Show 2 more scenarios
Mobile users
Back up phone photos
Phone photos remain preserved
Encrypted mobile backup workflows preserve phone content and make it available from other devices.
Multi-device professionals
Access encrypted files after device changes
Encrypted files stay retrievable
Encrypted exports and access flows support routine retrieval across supported devices.
Best for: Fits when privacy-focused users need encrypted storage and simple sharing across devices.
Pinata
specialistService provider for pinning and managing content on the InterPlanetary File System.
Pin orchestration API with CID-based operations for programmatic pin lifecycle management.
Pinata performs IPFS and decentralized storage pinning by combining a pin management interface with an API for programmatic content control. Its core capability centers on pin lifecycle handling for content-addressed files, so operators can keep specific CIDs available in supported storage backends.
- +Strong API for pin lifecycle automation via authenticated requests
- +Clear pin state management that aligns with content-addressed workflows
- +CID-focused operations reduce ambiguity in distributed storage references
- +Good operational fit for teams that already use IPFS addressing
- –Governance features like RBAC and audit logs are not emphasized
- –Workflow quality depends on correct CID generation and routing
Web3 release teams
Pin build artifacts for releases
Stable asset availability
DevOps automation engineers
Run pinning from CI pipelines
Automated content retention
Show 1 more scenario
Node and tooling maintainers
Manage content availability centrally
Lower operational overhead
Central pin operations reduce reliance on local node pinning for frequently accessed CIDs.
Best for: Fits when engineering teams need automated CID pinning and predictable availability for dApp assets.
Arweave
enterprise_vendorProvider of a permanent, decentralized data storage network.
Arweave’s permanent commitment model anchors content to long-term availability tied to content identifiers.
Arweave is a decentralized storage network designed around permanent data availability, with files tied to cryptographic content identifiers. The core capability centers on how data is committed and later retrieved through gateway access, which supports long-lived archival use rather than frequent updates.
- +Permanent data availability model favors long-term archival workflows
- +Content-addressing supports stable referencing across time and systems
- +Programmatic retrieval fits automation-heavy pipelines
- +Gateway access simplifies consumption from standard network environments
- –Immutability makes overwrite-heavy workflows awkward
- –Integration requires care around data pinning and lifecycle expectations
- –Operational understanding takes time for reliable production usage
- –Throughput for many small objects can be harder to tune
Compliance and records teams
Retain immutable evidence archives
Stronger long-term traceability
Developer platform teams
Automate archival retrieval in apps
Reduced manual content handling
Show 2 more scenarios
Research data librarians
Publish datasets for persistent access
More consistent dataset referencing
Librarians publish content once and distribute stable references for downstream citation and reuse.
Media preservation groups
Store long-lived creative assets
Lower archival fragility
Groups archive finished media to keep availability aligned with permanent retention requirements.
Best for: Fits when teams need durable archival storage and content-addressed retrieval for long-lived datasets.
Seal Storage
specialistEnterprise decentralized storage provider built on the Filecoin network.
Policy-linked encrypted sharing that ties access rules to retrieval behavior, not just link issuance.
Seal Storage routes decentralized storage through an identity and policy workflow designed for controlled sharing, rather than raw file upload. It focuses on cryptographic handling tied to user access, with a gateway-style experience for retrieval.
- +Access policy workflow supports controlled sharing beyond simple links
- +API and automation hooks fit provisioning and repeatable workflows
- +Encryption tied to access patterns reduces reliance on external tooling
- +Gateway-style retrieval improves usability for non-decentralized clients
- –Sharing workflows need careful configuration discipline for least privilege
- –Details on backup-style redundancy guarantees are less explicit than peers
- –Operational visibility into node-level behavior is limited from the UI
- –Complex use cases may require tighter client-side integration
Compliance-minded engineering teams
Share encrypted evidence with access control
Consistent access enforcement
DevOps automation teams
Provision storage and shares via API
Lower operational overhead
Show 2 more scenarios
Product teams with partner data
Distribute sensitive assets to partners
Controlled partner access
Partner access is granted through governed sharing flows with retrieval through a gateway path.
Legal and records teams
Store and disclose records securely
Safer disclosure workflows
Records are stored encrypted and disclosed through access-managed sharing rather than ad hoc downloads.
Best for: Fits when teams need policy-driven encrypted sharing with automation and an API-first workflow.
Akord
specialistDecentralized storage and privacy service built on Arweave.
Content-addressed file referencing that stays stable across reuploads and clients.
Akord positions itself as decentralized cloud storage built around content-addressed storage with a gateway for client use. The service focuses on encryption workflows, sharing controls, and managing file access without central storage ownership.
- +Content-addressed identifiers make references portable across clients
- +End-to-end encryption model reduces reliance on server-side trust
- +Sharing model supports key-based access rather than link-only access
- +API-oriented workflows help automate provisioning and transfers
- –Key management adds friction for small teams without tooling
- –Folder-style browsing can feel secondary to content addressing
- –Automation coverage depends heavily on the available client tooling
- –Advanced governance needs tighter operational discipline
Security-focused IT teams
Store and share encrypted internal documents
Reduced central trust exposure
DevOps and platform teams
Automate ingestion and retrieval pipelines
More consistent workflows
Show 2 more scenarios
Product teams
Persist user-generated assets securely
Lower data ownership risk
Assets can be stored with encrypted references that support deterministic retrieval and controlled sharing.
Compliance and audit owners
Track access and reduce plaintext storage
Fewer plaintext exposure paths
Access decisions can be tied to cryptographic material rather than server-stored plaintext availability.
Best for: Fits when teams need encrypted decentralized storage with API-driven sharing automation and portability.
Apillon
specialistWeb3 development platform integrating decentralized storage protocols.
Key handling and encrypted sharing flows keep the provider out of plaintext access while still supporting recoverable access paths.
Apillon stores files on a decentralized storage network while providing a web app for upload, sharing, and recovery flows. The service emphasizes client-side encryption with key handling designed to keep plaintext out of the provider’s storage plane.
- +Client-side encryption model reduces exposure of plaintext to storage nodes
- +Sharing controls support link-based distribution for external collaborators
- +API and automation support programmatic onboarding and storage workflows
- +Recovery flows help manage key and file availability edge cases
- –Decentralized storage behavior can complicate troubleshooting and latency expectations
- –Advanced governance and audit depth require deliberate admin configuration discipline
- –S3-style migrations may demand client work and mapping of metadata
- –Integration breadth can lag general-purpose cloud suites for niche enterprise needs
Security engineering teams
Manage encrypted sharing without provider access
Reduced confidentiality risk
IT administrators
Automate user onboarding and file lifecycle
Lower admin overhead
Show 2 more scenarios
Compliance and audit teams
Track access activity for stored content
More actionable audit evidence
Admin visibility into account activity supports audit preparation around who accessed and shared content.
Product teams
Embed storage into internal workflows
Faster document handling
Programmatic upload and link generation support integrating storage into ticketing and document pipelines.
Best for: Fits when teams need encrypted decentralized storage with API-driven provisioning and controlled sharing.
Filebase
specialistGateway provider aggregating multiple decentralized storage networks into a single S3-compatible API.
S3-compatible gateway access combined with content-addressed object addressing for deterministic storage references.
Filebase focuses on decentralized storage workflows with an S3-compatible API and content-addressed addressing that maps cleanly onto existing upload tooling. It supports automated client operations for storing and retrieving objects via gateways, making it practical for application-driven archival and distribution.
- +S3-compatible API reduces integration changes for object storage clients
- +Content-addressed identifiers simplify deterministic referencing of stored objects
- +Programmatic workflows fit automation for repeated upload and retrieval
- +Gateway access supports application use without bespoke storage clients
- –Operational details can require deeper client configuration to avoid errors
- –Advanced governance controls are not as extensive as enterprise storage platforms
Platform engineering teams
Automate archival uploads from services
Repeatable storage and retrieval
DevOps and automation teams
Integrate storage into CI pipelines
Faster automated distribution
Show 2 more scenarios
Security-conscious application teams
Separate storage from application logic
Clearer access boundaries
Applications manage keys and access boundaries while storage uses consistent object addressing for references.
Data governance owners
Manage retention references for teams
Consistent data referencing
Governance processes can reference stored objects by stable identifiers across systems and environments.
Best for: Fits when engineering teams need decentralized storage behind an S3-style interface for automated archival.
Conclusion
After evaluating 10 decentralized cloud storage, Infura stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.
Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.
Frequently Asked Questions About Decentralized Cloud Storage
How do Akord and Filebase differ in API-driven access compared with Internxt’s browser-first workflow?
Which services provide S3-compatible interfaces for decentralized storage workflows?
What breaks if an application assumes folder-based paths instead of content-addressed addressing?
How do client-side encryption and sharing controls differ between Internxt and Apillon?
How does data migration typically work when switching from centralized storage to decentralized storage providers?
When does gateway access matter for decentralized storage apps, and which providers expose it?
What tradeoff comes with immutability expectations in Arweave compared with services optimized for frequent updates?
How do admin controls and auditability show up for teams managing access across users and devices?
Which providers are better aligned to automation around provisioning and lifecycle operations, and what differs in their data models?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
How to Choose the Right Decentralized Cloud Storage
We look for meaningful differences in how a decentralized cloud storage product handles durability, retrieval, and control over access. In practice, the biggest separations show up under Data integrity verification, Availability and retrieval performance, and Access controls.
Data integrity verification
Why it matters
Data integrity verification matters because decentralized storage can involve multiple hops and partial failures. If the product can’t detect corruption early, your “uploaded” file may not be trustworthy when you fetch it later.
How to check
Upload a small text file, note its identifier, then attempt a download and confirm the product verifies it during retrieval. Also ask for an example of what happens when stored content is tampered with or unavailable mid-retrieval.
Availability and retrieval performance
Why it matters
Availability and retrieval performance matter because decentralized networks can vary in node health and routing. You want predictable restore behavior when you download frequently and when you download after periods of inactivity.
How to check
In a demo, run repeated downloads of the same large file after a short idle period, and record whether it consistently completes. Ask how it behaves when a piece can’t be found immediately, and what the user sees while the system resolves retrieval.
Access controls and sharing controls
Why it matters
Access controls matter because shared storage only works if you can constrain who can retrieve what. Strong sharing controls reduce accidental exposure when you collaborate across teams or devices.
How to check
Create a shared folder or object, then test at least two roles (owner vs viewer) and verify what each role can do: list, download, and delete. Ask whether access can be time-limited or revoked without re-uploading files.
Client-side key and recovery management
Why it matters
Client-side key and recovery management matters because decentralized storage often keeps more responsibility on your side for keys. If recovery is unclear, you may lose access after device loss or account changes.
How to check
In a test workflow, simulate removing a device or changing a client, then verify how key material is handled for the existing library. Ask what recovery options exist for an encryption key you created and whether recovery requires any server-side assistance.
Pinning and persistence controls
Why it matters
Pinning and persistence controls matter because decentralized availability can change over time. Persistence controls tell you whether important data stays retrievable without you constantly re-uploading.
How to check
Upload a file, then remove it from the active workflow (stop syncing) and check whether it remains downloadable later. Ask what the product exposes to you about persistence settings and how you can change them after upload.
Red flags
- No clear explanation of what happens if retrieved content fails integrity checks
- Downloads sometimes stall or silently degrade after idle periods
- Sharing controls cannot be revoked or scoped beyond broad access
Fit by situation
- If you need confidence that restored files match what you uploaded, prioritize Data integrity verification.
- If team members pull files days later, prioritize Availability and retrieval performance.
- If collaboration requires tight permission control, prioritize Access controls and sharing controls.
Funding and competing interests
This study was co-funded by several of the vendors assessed in it. No single vendor funded it. Funders could propose the market studied.
They had no role in selecting vendors, setting or weighting criteria, analysing data or drawing conclusions, and they received the same factual-accuracy check as every other vendor assessed.
Market definition, inclusion rules and criteria weights were fixed by an editor before research began and did not change afterwards. Editorial process →
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