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  1. Stackups
  2. Application & Data
  3. Image Optimization
  4. Image Processing And Management
  5. Cloudinary vs Thumbor

Cloudinary vs Thumbor

OverviewComparisonAlternatives

Overview

Cloudinary
Cloudinary
Stacks634
Followers594
Votes179
Thumbor
Thumbor
Stacks23
Followers28
Votes0
GitHub Stars0
Forks0

Cloudinary vs Thumbor: What are the differences?

Introduction

In this Markdown code, we will compare and provide the key differences between Cloudinary and Thumbor, two popular image management and transformation services.

  1. Pricing: Cloudinary offers tiered pricing options based on the number of monthly transformations and storage space required. Thumbor, on the other hand, is an open-source solution that can be self-hosted for free or used with a hosting provider. While Cloudinary provides a comprehensive set of features with their pricing plans, Thumbor's cost-effectiveness makes it suitable for smaller projects or those with budget constraints.

  2. Functionality: Cloudinary offers an extensive range of advanced image and video manipulation features, including resizing, cropping, filtering, overlaying, and AI-based content analysis. Thumbor, as an open-source solution, provides basic image manipulation capabilities, such as resizing and cropping, but requires additional plugins for more advanced functionalities. Cloudinary's comprehensive feature set makes it a better choice for projects that demand more advanced and complex image transformation tasks.

  3. Integration and Support: Cloudinary provides official client libraries for multiple programming languages, ensuring seamless integration with various web and mobile development frameworks. It also offers comprehensive developer documentation and responsive support services. Thumbor, as an open-source solution, has a smaller community and limited official libraries. Integrating Thumbor into existing projects might require more development effort and support may be dependent on the open-source community.

  4. Infrastructure: Cloudinary has a globally distributed infrastructure with multiple data centers, ensuring high availability and low latency for image delivery and transformation. Thumbor, as an open-source solution, allows users to set up their own infrastructure or rely on a hosting provider of their choice. While Cloudinary's infrastructure provides a robust and scalable solution, Thumbor offers more flexibility and control over the hosting environment.

  5. Security: Cloudinary offers various security features, including token-based authentication, private CDN, and secure image uploads. It also provides integration with popular authentication providers, such as Google and Facebook. Thumbor, being an open-source solution, lacks the out-of-the-box security features provided by Cloudinary. However, users can implement security measures by customizing and configuring their Thumbor deployment based on their specific requirements.

  6. Performance Optimization: Cloudinary automatically optimizes images during transformation, compressing them and delivering them in the most efficient format. It also offers additional features like automatic content delivery network (CDN) selection and dynamic content acceleration. Thumbor, being an open-source solution, requires additional configuration and optimization efforts to achieve similar performance benefits. Cloudinary's built-in optimization features make it more suitable for projects that prioritize performance and efficiency.

In summary, Cloudinary offers a comprehensive, feature-rich, and scalable solution for image management and transformation, with advanced functionalities, extensive documentation, and responsive support. Thumbor, as an open-source alternative, provides cost-effective image manipulation capabilities, flexibility in infrastructure, and customization options, making it suitable for smaller projects or those with specific requirements.

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Detailed Comparison

Cloudinary
Cloudinary
Thumbor
Thumbor

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

It is a smart imaging service. It enables on-demand crop, resizing and flipping of images. It allows users to store and load images from anywhere needed. It's really simple to implement a new loader or storage.

Upload images to a cloud-based storage; Upload video to cloud-based storage; Automatic backup and revision tracking; Many image manipulation capabilities & effects; Smart resizing & face detection based thumbnails; Handling PDFs, sprites, watermarks, social profile pictures; Fast CDN delivery with advanced caching; Automatic image optimization; Powerful dashboard, media library and reports; RESTful APIs, intuitive URL based transformations; Image metadata and semantic data extraction; Integration SDKs for web & mobile frameworks; Custom domain (CNAME) support; Authenticated URLs; On-the-fly Video transcoding ; On-the-fly Video overlays;
For developers; For operations; For designers; For project managers
Statistics
GitHub Stars
-
GitHub Stars
0
GitHub Forks
-
GitHub Forks
0
Stacks
634
Stacks
23
Followers
594
Followers
28
Votes
179
Votes
0
Pros & Cons
Pros
  • 37
    Easy setup
  • 31
    Fast image delivery
  • 26
    Vast array of image manipulation capabilities
  • 21
    Free tier
  • 11
    Heroku add-on
Cons
  • 5
    Paid plan is expensive
No community feedback yet
Integrations
Microsoft Azure
Microsoft Azure
AppHarbor
AppHarbor
Heroku
Heroku
Node.js
Node.js
Django
Django
WordPress
WordPress
Google App Engine
Google App Engine
Ruby
Ruby
Python
Python
Java
Java
Swift
Swift
C#
C#
Perl
Perl
Rails
Rails
JRuby
JRuby
Objective-C
Objective-C
Ember.js
Ember.js
Python
Python
Twill
Twill

What are some alternatives to Cloudinary, Thumbor?

imgix

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.

OpenCV

OpenCV

OpenCV was designed for computational efficiency and with a strong focus on real-time applications. Written in optimized C/C++, the library can take advantage of multi-core processing. Enabled with OpenCL, it can take advantage of the hardware acceleration of the underlying heterogeneous compute platform.

ImageKit

ImageKit

ImageKit offers a real-time URL-based API for image & video optimization, streaming, and 50+ transformations to deliver perfect visual experiences on websites and apps. It also comes integrated with a Digital Asset Management solution.

Cloudimage

Cloudimage

Effortless image resizing, optimization and CDN delivery. Make your site fully responsive and really fast.

scikit-image

scikit-image

scikit-image is a collection of algorithms for image processing.

Kraken.io

Kraken.io

It supports JPEG, PNG and GIF files. You can optimize your images in two ways - by providing an URL of the image you want to optimize or by uploading an image file directly to its API.

ImageEngine

ImageEngine

ImageEngine is an intelligent Image CDN that dynamically optimizes image content tailored to the end users device. Using device intelligence at the CDN edge, developers can greatly simplify their image management process while accelerating their site.

FFMPEG

FFMPEG

The universal multimedia toolkit.

GStreamer

GStreamer

It is a library for constructing graphs of media-handling components. The applications it supports range from simple Ogg/Vorbis playback, audio/video streaming to complex audio (mixing) and video (non-linear editing) processing.

GraphicsMagick

GraphicsMagick

GraphicsMagick is the swiss army knife of image processing. Comprised of 267K physical lines (according to David A. Wheeler's SLOCCount) of source code in the base package (or 1,225K including 3rd party libraries) it provides a robust and efficient collection of tools and libraries which support reading, writing, and manipulating an image in over 88 major formats including important formats like DPX, GIF, JPEG, JPEG-2000, PNG, PDF, PNM, and TIFF.

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