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  2. lakeFS - Wikipedia

    en.wikipedia.org/wiki/LakeFS

    lakeFS is an interface made for interaction with object stores such as S3 as well as data management systems, such as AWS Glue and Databricks. [1] The system assigns the task of actual data storage to backend services such as AWS , while it handles branch tracking and supports multiple storage providers.

  3. MinIO - Wikipedia

    en.wikipedia.org/wiki/MinIO

    MinIO is an object storage system released under GNU Affero General Public License v3.0. [3] It is API compatible with the Amazon S3 cloud storage service. It is capable of working with unstructured data such as photos, videos, log files, backups, and container images with the maximum supported object size being 50TB.

  4. ObjectiveFS - Wikipedia

    en.wikipedia.org/wiki/ObjectiveFS

    ObjectiveFS implements a log structured file system on top of object stores (such as Amazon S3, Google Cloud Storage and other object store devices). [3] It is a POSIX compliant file system and supports features such as dynamic file system size, soft and hard links, unix attributes, extended attributes, Unix timestamps, users and permissions, no limit on file size, atomic renames, atomic file ...

  5. GitHub - Wikipedia

    en.wikipedia.org/wiki/Github

    GitHub (/ ˈ ɡ ɪ t h ʌ b /) is a proprietary developer platform that allows developers to create, store, manage, and share their code. It uses Git to provide distributed version control and GitHub itself provides access control, bug tracking, software feature requests, task management, continuous integration, and wikis for every project. [8]

  6. Amazon S3 - Wikipedia

    en.wikipedia.org/wiki/Amazon_S3

    An object in S3 can be between 0 bytes and 5TB. If an object is larger than 5TB, it must be divided into chunks prior to uploading. When uploading, Amazon S3 allows a maximum of 5GB in a single upload operation; hence, objects larger than 5GB must be uploaded via the S3 multipart upload API.

  7. Comparison of distributed file systems - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_distributed...

    This makes it possible for multiple users on multiple machines to share files and storage resources. Distributed file systems differ in their performance, mutability of content, handling of concurrent writes, handling of permanent or temporary loss of nodes or storage, and their policy of storing content.

  8. Pydio - Wikipedia

    en.wikipedia.org/wiki/Pydio

    Pydio is not based on a public cloud; [16] instead, the software connects to the user's existing storage (such as SAN / Local FS, SAMBA / CIFS, (s)FTP, NFS, S3-compatible cloud storage, Azure Blob Storage, Google Cloud Storage) as well as to the existing user directories (LDAP / AD, OAuth2 / OIDC SSO, SAML / Azure ADFS SSO, RADIUS, Shibboleth ...

  9. Filesystem in Userspace - Wikipedia

    en.wikipedia.org/wiki/Filesystem_in_Userspace

    s3fs: Gives the ability to mount an S3 bucket as if it were a local file system. Sector File System: Sector is a distributed file system designed for large amount of commodity computers. Sector uses FUSE to provide a mountable local file system interface. SSHFS: Provides access to a remote filesystem through SSH.