Object storage vs file storage – what’s the dif­fer­ence?

Object storage and file storage are two central storage ar­chi­tec­tures. The main dif­fer­ence lies in the way data is organised: Object storage manages data as in­di­vidu­al objects, while file storage is based on a hier­arch­ic­al file system.

A direct com­par­is­on of object storage vs. file storage

To clearly present the key sim­il­ar­it­ies and dif­fer­ences between object storage and file storage, a direct com­par­is­on of the main features is helpful. The following overview table sum­mar­ises central char­ac­ter­ist­ics, typical use cases, and technical dif­fer­ences, providing quick guidance on which storage type is better suited for specific ap­plic­a­tions.

Dif­fer­ences between object and file storage

Object storage and file storage are based on different ar­chi­tec­tures and each follows its own prin­ciples for or­gan­ising and ad­dress­ing data. Data access is also regulated dif­fer­ently. While file storage resembles the tra­di­tion­al file system, object storage is aligned with modern cloud prin­ciples featuring API-access, global scalab­il­ity, and metadata.

Object storage is par­tic­u­larly suitable for large, un­struc­tured data sets and dis­trib­uted systems. File storage, on the other hand, offers struc­tured hier­arch­ies and is often found in corporate networks and operating systems. The choice depends on re­quire­ments such as access speed, metadata pro­cessing, scalab­il­ity, and ap­plic­a­tion type.

How do object storage and file storage work?

File storage organizes data in a hier­arch­ic­al structure of dir­ect­or­ies and sub­dir­ect­or­ies. Files are stored in these folders, and each file receives a path for unique iden­ti­fic­a­tion. Access is via stand­ard­ised protocols like NFS (Network File System) or SMB/CIFS (Server Message Block), making file storage easy to integrate into local networks. File op­er­a­tions such as reading, writing, or locking occur at the operating system level. Access is often stateful and designed for sim­ul­tan­eous access by multiple users. Per­form­ance depends on network con­nectiv­ity and server load. Metadata is usually limited to in­form­a­tion like size, creation date, and file type.

Object storage takes a different approach: Data is stored as objects, each con­sist­ing of the actual data, user-defined metadata, and a unique ID. These objects are stored in so-called buckets and accessed via REST-based in­ter­faces. Therefore, in object storage, there is no tra­di­tion­al file system. Changes typically create new objects, fa­cil­it­at­ing rep­lic­a­tion and ver­sion­ing. The metadata structure is flexible, allowing easy cat­egor­isa­tion. Object storage is designed to scale ho­ri­zont­ally. This means it is intended to be efficient with a dis­trib­uted ar­chi­tec­ture across regions or data centres. The access is stateless, making it par­tic­u­larly suitable for cloud-native ap­plic­a­tions.

Areas of ap­plic­a­tion for object storage and file storage

The areas of ap­plic­a­tion for object storage vs file storage also differ:

File storage is often used in tra­di­tion­al IT en­vir­on­ments, such as offices, data centres, or networks with shared dir­ect­or­ies. Typical ap­plic­a­tions include user shares, file servers, home dir­ect­or­ies, project folders, and software de­vel­op­ment en­vir­on­ments. It is also common to use file storage for ap­plic­a­tions that require a stand­ard­ised file path, as is the case with content man­age­ment systems. With support for locking mech­an­isms, file storage is ideal for con­cur­rent access and team col­lab­or­a­tion.

Object storage, on the other hand, is mainly used in cloud and big data scenarios. It is suitable for backups, archiving, log data, or IoT processes. Modern web ap­plic­a­tions that retrieve or upload data via HTTP-based APIs also greatly benefit from object storage. Ad­di­tion­ally, object storage is ideal for content that is rarely changed but often read.

Sim­il­ar­it­ies of storage ar­chi­tec­tures

Despite all the dif­fer­ences, object storage and file storage also share some sim­il­ar­it­ies. Both offer network access to remote data resources and can be used in both cloud and on-premises en­vir­on­ments. Both storage types enable redundant storage and high avail­ab­il­ity. They can also be auto­mat­ic­ally monitored and backed up, support role-based access controls, and are com­pat­ible with modern security concepts involving en­cryp­tion and audit logs.

In hybrid ar­chi­tec­tures, object storage and file storage can be used in parallel, such as utilising object storage for archive data or backup purposes, while file storage manages op­er­a­tion­al working dir­ect­or­ies, user shares, or project-related files. This sep­ar­a­tion allows companies to work cost-ef­fect­ively without sac­ri­fi­cing per­form­ance or user-friend­li­ness. By combining both systems, the re­spect­ive ad­vant­ages can be spe­cific­ally utilised.

Ad­vant­ages and dis­ad­vant­ages of object storage vs file storage

Ad­vant­ages and dis­ad­vant­ages of file storage

File storage scores with its familiar structure, allowing it to integrate seam­lessly into operating systems and ap­plic­a­tions. It also supports sim­ul­tan­eous file access. These features make it the preferred solution in tra­di­tion­al IT en­vir­on­ments. However, file storage quickly hits scaling limits with large data volumes or many sim­ul­tan­eous accesses. Ad­di­tion­ally, vertical scaling can be costly and tech­nic­ally chal­len­ging.

Ad­vant­ages and dis­ad­vant­ages of object storage

Object storage is ideal for modern, cloud-based workloads reliant on high scalab­il­ity, global avail­ab­il­ity, and API-driven access. The ability to store extensive metadata makes object storage par­tic­u­larly appealing for archiving, media man­age­ment, or big data ap­plic­a­tions. The ar­chi­tec­ture allows for easy dis­tri­bu­tion across multiple data centres. However, it lacks a tra­di­tion­al file hierarchy, com­plic­at­ing its use in tra­di­tion­al systems. Moreover, object storage is less user-friendly when working directly with in­di­vidu­al files.