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Cloudinary

595
594
+ 1
179
dicom

22
9
+ 1
0
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Cloudinary vs dicom: What are the differences?

Developers describe Cloudinary as "An end-to-end image & video management solution for your web and mobile applications". Cloudinary is a cloud-based service that streamlines websites and mobile applications' entire image and video management needs - uploads, storage, administration, manipulations, and delivery. On the other hand, dicom is detailed as "A High Performance DICOM Medical Image Parser in Go". It is a golang DICOM image parsing library and command line tool. Its features include parsing and extracting multi-frame DICOM imagery (both encapsulated and native pixel data), exposing a Parser golang interface to make mock-based testing easier for clients etc.

Cloudinary and dicom belong to "Image Processing and Management" category of the tech stack.

dicom is an open source tool with 344 GitHub stars and 17 GitHub forks. Here's a link to dicom's open source repository on GitHub.

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Pros of Cloudinary
Pros of dicom
  • 37
    Easy setup
  • 31
    Fast image delivery
  • 26
    Vast array of image manipulation capabilities
  • 21
    Free tier
  • 11
    Heroku add-on
  • 9
    Reduce development costs
  • 7
    Amazing support
  • 6
    Heroku plugin
  • 6
    Great libraries for all languages
  • 6
    Virtually limitless scale
  • 5
    Easy to integrate with Rails
  • 4
    Cheap
  • 3
    Shot setup time
  • 3
    Very easy setup
  • 2
    Solves alot of image problems.
  • 1
    Best in the market and includes free plan
  • 1
    Extremely generous free pricing tier
  • 0
    Fast image delivery, vast array
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    Cons of Cloudinary
    Cons of dicom
    • 5
      Paid plan is expensive
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      - No public GitHub repository available -

      What is Cloudinary?

      Cloudinary is a cloud-based service that streamlines websites and mobile applications' entire image and video management needs - uploads, storage, administration, manipulations, and delivery.

      What is dicom?

      It is a golang DICOM image parsing library and command line tool. Its features include parsing and extracting multi-frame DICOM imagery (both encapsulated and native pixel data), exposing a Parser golang interface to make mock-based testing easier for clients etc.

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

      What companies use Cloudinary?
      What companies use dicom?
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      What tools integrate with Cloudinary?
      What tools integrate with dicom?

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      What are some alternatives to Cloudinary and dicom?
      Bytescale
      Bytescale is the best way to serve images, videos, and audio for web apps. Includes: Fast CDN, Storage, and Media Processing APIs.
      CloudFlare
      Cloudflare speeds up and protects millions of websites, APIs, SaaS services, and other properties connected to the Internet.
      imgix
      imgix is the leading platform for end-to-end visual media processing. With robust APIs, SDKs, and integrations, imgix empowers developers to optimize, transform, manage, and deliver images and videos at scale through simple URL parameters.
      Akamai
      If you've ever shopped online, downloaded music, watched a web video or connected to work remotely, you've probably used Akamai's cloud platform. Akamai helps businesses connect the hyperconnected, empowering them to transform and reinvent their business online. We remove the complexities of technology, so you can focus on driving your business faster forward.
      Amazon S3
      Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web
      See all alternatives