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Cloudian

Object storage software company

AdvancedPlatform9K learners

Cloudian is a company that builds S3-compatible object storage software designed to run on standard servers on-premises or in hybrid and multi-cloud environments, letting organizations build large-scale, durable storage systems without…

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Definition

Cloudian is a company that builds S3-compatible object storage software designed to run on standard servers on-premises or in hybrid and multi-cloud environments, letting organizations build large-scale, durable storage systems without relying solely on a public cloud provider. Its platform presents an interface compatible with the widely used Amazon S3 API, allowing applications written for cloud object storage to run against on-premises infrastructure with minimal changes.

Overview

Cloudian was founded to give organizations an alternative to sending all their unstructured data to public cloud object storage, particularly for use cases involving large data volumes, data sovereignty requirements, or a desire to control storage costs at scale over long retention periods. The company built its software around compatibility with the Amazon S3 API, which had become the de facto standard interface that applications and backup tools expect object storage to speak. Mechanically, Cloudian's software runs as a distributed cluster across commodity servers, splitting and replicating or erasure-coding objects across nodes to protect against hardware failure while presenting a single S3-compatible endpoint to applications. Because the API layer mirrors Amazon S3, tools and applications built to talk to AWS's object storage can be pointed at a Cloudian cluster instead, often without code changes, which lowers the switching cost for organizations moving workloads between public cloud and on-premises storage. The cluster also supports tiering policies that can move colder objects to lower-cost storage classes or out to a public cloud, letting an organization balance local capacity against cloud spend as data ages. Within the object storage market, Cloudian competes with other software-defined and appliance-based object storage vendors such as Hitachi Content Platform and open-source systems like SeaweedFS, as well as with cloud-hosted alternatives such as Wasabi. Its differentiator is deep S3 API fidelity combined with flexibility to deploy on customer-owned hardware, positioning it between fully managed public cloud storage and lower-level open-source storage projects that require more assembly. In practice, enterprises use Cloudian to build private or hybrid object storage for backup targets, media archives, surveillance footage retention, and other large, growing unstructured datasets where keeping data on owned infrastructure or across multiple sites is a priority. Its S3 compatibility also makes it a common target for backup software and data protection tools that already support S3-style storage. The trade-off compared to public cloud object storage is operational: running Cloudian means an organization takes on responsibility for the underlying hardware, capacity planning, and cluster maintenance that a public cloud provider would otherwise handle. Organizations without existing data center operations or without strong reasons for on-premises control may find a fully managed cloud storage service simpler, even if it offers less control over physical data placement. Support and software update cadence also depend on a vendor relationship with Cloudian itself, unlike a pure open-source deployment where the operating organization controls the upgrade timeline directly.

Key Features

  • S3-compatible API enabling drop-in replacement for cloud object storage
  • Distributed cluster architecture running on commodity server hardware
  • Replication and erasure coding for data durability across nodes
  • Support for on-premises, hybrid, and multi-cloud deployments
  • Compatibility with existing S3-oriented backup and data protection tools
  • Scalable capacity by adding nodes to an existing cluster
  • Multi-tenancy support for service providers and large enterprises
  • Tiering capabilities between local storage and public cloud

Use Cases

Building private object storage as an S3-compatible backup target
Retaining surveillance footage and media archives at scale
Meeting data sovereignty requirements with on-premises storage
Serving as a hybrid storage tier alongside public cloud object storage
Supporting service providers offering storage to multiple tenants
Reducing long-term storage costs for very large unstructured datasets

Alternatives

Frequently Asked Questions

Frequently Asked Questions

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The SkillVeris glossary is a free reference of roughly 2,000-plus technology terms, each with a clear plain-language definition. It spans AI, programming, web, DevOps, cloud, security and database vocabulary, so whenever a lesson, article or job description uses jargon you do not recognise, the glossary gives you a fast, reliable answer.
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How is the SkillVeris glossary different from Wikipedia?
The glossary is purpose-built for learners: definitions are short, plain-language and answer-first, sized for a quick lookup mid-lesson rather than a deep encyclopedic read. Entries also cross-link to related SkillVeris study notes, blog posts and courses, so a definition becomes a doorway into structured learning instead of a dead end.
Do blog articles use the Learn Through Hobbies method?
Many blog articles teach technical topics through hobby analogies, a hallmark of the SkillVeris blog, so you will find articles explaining programming through cricket, machine learning through music, or system design through cooking. The analogy is the teaching device; the article still delivers the real technical concept underneath.
Where can I find quick programming references while coding?
Open the SkillVeris cheat sheets, which are built exactly for that moment: compact, scannable references for syntax, commands and common patterns across languages and tools. Keep the relevant sheet in a browser tab while you work in Code Lab or your own editor, and dip into the glossary for terminology.
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Very likely yes, with roughly 2,000-plus terms across AI, programming, web, DevOps, cloud, security and databases, the glossary covers most jargon that appears in tech job descriptions. Decoding a listing this way helps you judge role fit honestly and prepares you to discuss those terms in interviews.
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The blog serves Indian learners plus a worldwide audience. Content stays globally relevant while acknowledging realities that matter in India, such as free access being essential for students and freshers, and career guidance that connects naturally to the SkillVeris jobs portal, which aggregates roles across India, UK, USA, Germany and Remote.
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Do cheat sheets and glossary entries link to deeper learning?
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What makes SkillVeris programming references trustworthy?
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How do the blog, glossary and cheat sheets fit into my learning routine?
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