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ceph vs Perl: What are the differences?

What is ceph? A free-software storage platform. In computing,It is a free-software storage platform, implements object storage on a single distributed computer cluster, and provides interfaces for object-, block- and file-level storage.

What is Perl? Highly capable, feature-rich programming language with over 26 years of development. Perl is a general-purpose programming language originally developed for text manipulation and now used for a wide range of tasks including system administration, web development, network programming, GUI development, and more.

ceph and Perl are primarily classified as "File Storage" and "Languages" tools respectively.

Perl is an open source tool with 436 GitHub stars and 152 GitHub forks. Here's a link to Perl's open source repository on GitHub.

MIT, DuckDuckGo, and Tilt are some of the popular companies that use Perl, whereas ceph is used by DigitalOcean, Twilio SendGrid, and Mirantis. Perl has a broader approval, being mentioned in 133 company stacks & 64 developers stacks; compared to ceph, which is listed in 13 company stacks and 3 developer stacks.

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Pros of ceph
Pros of Perl
  • 4
    Open source
  • 2
    Block Storage
  • 1
    Storage Cluster
  • 1
    Obejct Storage
  • 1
    S3 Compatible
  • 1
    Object Storage
  • 72
    Lots of libraries
  • 66
    Open source
  • 61
    Text processing
  • 54
    Powerful
  • 49
    Unix-style
  • 47
    Regex
  • 37
    Stable
  • 32
    Concise syntax
  • 29
    Hackerish
  • 22
    Easy to use
  • 16
    Swiss army chainsaw
  • 13
    Code Less Do More
  • 12
    CPAN
  • 9
    Freedom
  • 8
    All purpose
  • 5
    Readability
  • 5
    Familiar
  • 5
    Many ways to do it
  • 5
    Community
  • 4
    Object-Oriented
  • 4
    Modular
  • 4
    Smart (does alot for you)
  • 3
    Postmodern
  • 3
    It's the best one-off task language
  • 2
    For a man
  • 2
    Good man pages
  • 1
    Auto case variables
  • 1
    Single Source Library (CPAN)
  • 1
    Multi-threaded support
  • 1
    Multiparadigm
  • 1
    C-style
  • 1
    Hashes

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Cons of ceph
Cons of Perl
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    • 4
      Messy $/@/% syntax
    • 3
      No exception handling
    • 2
      Bad OO support
    • 2
      "1;"
    • 2
      No OS threads
    • 1
      Variables are global by default
    • 1
      Copy-on-create for interpreter-based threads
    • 1
      Barewords
    • 1
      Errors/warnings are ignored by default

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    What is ceph?

    In computing,It is a free-software storage platform, implements object storage on a single distributed computer cluster, and provides interfaces for object-, block- and file-level storage.

    What is Perl?

    Perl is a general-purpose programming language originally developed for text manipulation and now used for a wide range of tasks including system administration, web development, network programming, GUI development, and more.

    Need advice about which tool to choose?Ask the StackShare community!

    What companies use ceph?
    What companies use Perl?
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    What tools integrate with ceph?
    What tools integrate with Perl?

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    What are some alternatives to ceph and Perl?
    Minio
    Minio is an object storage server compatible with Amazon S3 and licensed under Apache 2.0 License
    Swift
    Writing code is interactive and fun, the syntax is concise yet expressive, and apps run lightning-fast. Swift is ready for your next iOS and OS X project — or for addition into your current app — because Swift code works side-by-side with Objective-C.
    FreeNAS
    It is the simplest way to create a centralized and easily accessible place for your data. Use it with ZFS to protect, store, backup, all of your data. It is used everywhere, for the home, small business, and the enterprise.
    Portworx
    It is the cloud native storage company that enterprises depend on to reduce the cost and complexity of rapidly deploying containerized applications across multiple clouds and on-prem environments.
    Hadoop
    The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.
    See all alternatives