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Dataiku VS Cloudinary

Compare Dataiku VS Cloudinary and see what are their differences

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LibHunt tracks mentions of software libraries on relevant social networks. Based on that data, you can find the most popular projects and their alternatives. featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Dataiku logo Dataiku

Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.

Cloudinary logo Cloudinary

Cloudinary is a cloud-based service for hosting videos and images designed specifically with the needs of web and mobile developers in mind.
  • Dataiku Landing page
    Landing page //
    2023-08-17
  • Cloudinary Landing page
    Landing page //
    2023-09-17

Dataiku

Website
dataiku.com
Pricing URL
Official Dataiku Pricing
Release Date
2013 January
Startup details
Country
United States
State
New York
City
New York
Founder(s)
Clément Stenac
Employees
500 - 999
Edit details

Cloudinary

Website
cloudinary.com
Pricing URL
-
Release Date
-
Edit details

Dataiku videos

+ Add

AutoML with Dataiku: And End-to-End Demo

More videos:

  • Review - Dataiku: For Everyone in the Data-Powered Organization
  • Tutorial - Dataiku DSS Tutorial 101: Your very first steps

Cloudinary videos

+ Add

What is Cloudinary?

More videos:

  • Review - Cloudinary Plugin for WordPress Reviewed
  • Review - Cloudinary Mini Review - AndrewCaron.ca

Category Popularity

0-100% (relative to Dataiku and Cloudinary)

Dataiku

Cloudinary

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Image Optimisation
0 0%
Image Optimisation
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Digital Asset Management
0 0%
Digital Asset Management
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Dataiku and Cloudinary

Dataiku Reviews

15 data science tools to consider using in 2021
Some platforms are also available in free open source or community editions -- examples include Dataiku and H2O. Knime combines an open source analytics platform with a commercial Knime Server software package that supports team-based collaboration and workflow automation, deployment and management.
Source: searchbusinessanalytics.techtarget.com
The 16 Best Data Science and Machine Learning Platforms for 2021
Description: Dataiku offers an advanced analytics solution that allows organizations to create their own data tools. The company’s flagship product features a team-based user interface for both data analysts and data scientists. Dataiku’s unified framework for development and deployment provides immediate access to all the features needed to design data tools from scratch....
Source: solutionsreview.com

Cloudinary Reviews

10+ Free CDN Services to Speed Up WordPress
If you run website that heavily dependent on images (think portfolios of photography/design services), offloading your images to another server would be a good idea. You would end up saving a lot of precious bandwidth. Cloudinary is a robust image management solution that can host your images, resize them on-the-fly and a ton of other cool features. In their forever-free...
Source: www.wpexplorer.com

What are some alternatives?

When comparing Dataiku and Cloudinary, you can also consider the following products

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

imgix - Real-time Image Processing. Resize, crop, and process images on the fly, simply by changing their URLs.

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

Cloudimage - Cloudimage.io is the easiest way to resize, store, and deliver your images to your customers through a rocket fast CDN.

NumPy - NumPy is the fundamental package for scientific computing with Python

Gumlet - Gumlet is an end-to-end video streaming and image delivery platform

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