Software Alternatives, Accelerators & Startups

Email This VS Dataiku

Compare Email This VS Dataiku and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Email This logo Email This

Save ad-free articles and web pages and articles to your email inbox for reading later.

Dataiku logo Dataiku

Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.
  • Email This Landing page
    Landing page //
    2021-10-19

Found a great article but don’t have time to read it now? Save the complete web page to your email and read it later.

Email This removes ads, distractions and crufty sidebars from a web page and sends a cleaned-up, readable view of the page to your email inbox. You can then open up your email inbox and read your saved articles whenever you want.

Email This is a simpler alternative to bookmarking and "read later" tools like Pocket, Instapaper, and Pinboard. There is no need to signup for a new service or install any additional applications to read your saved bookmarks. You can even access your saved bookmarks offline on your mobile phones and tablets.

Benefits & features

  • Save any web page or article with one-click
  • Save the current page with a keyboard shortcut
  • Browser extensions available for all browsers and devices - Chrome, Firefox, Edge, Opera, Safari.
  • Also works from iOS and Android
  • [NEW] Add notes and keywords to your saved pages. This helps you search for your content faster.
  • [NEW] Include PDF snapshot of all web pages
  • [NEW] PDF files, images, DOCX, PPTs and Excel sheets will be automatically downloaded and sent as email attachments.
  • Right-click and save links without opening them.
  • Completely free to use.
  • Dataiku Landing page
    Landing page //
    2023-08-17

Email This

Platforms
Browser Android iOS Web Google Chrome Firefox Edge
Release Date
-

Dataiku

Platforms
-
Release Date
2013 January
Startup details
Country
United States
State
New York
City
New York
Founder(s)
Clément Stenac
Employees
500 - 999

Email This features and specs

  • Easy to Set-up and use
    Browser extensions available for all major browsers
  • One Click Save
    Save any web page with a single click
  • Works everywhere
    You control the content you save. No lock-ins

Dataiku features and specs

  • User-Friendly Interface
    Dataiku offers an intuitive and easy-to-navigate visual interface that allows users of all technical backgrounds to create, manage, and deploy data projects without needing extensive coding knowledge.
  • Collaborative Environment
    The platform supports collaborative work, enabling data scientists, engineers, and analysts to work together on the same projects seamlessly, sharing insights and models easily.
  • End-to-End Workflow
    Dataiku provides tools that cover the entire data pipeline, from data preparation and cleaning to model building, deployment, and monitoring, making it a comprehensive solution for data teams.
  • Integrations and Extensibility
    The platform integrates with many data storage systems, machine learning libraries, and cloud services, allowing users to leverage existing tools and infrastructure.
  • Automation Capabilities
    Dataiku offers automation features such as scheduling, automation scenarios, and machine learning model monitoring, which can significantly enhance productivity and efficiency.
  • Rich Documentation and Support
    Dataiku provides extensive documentation, tutorials, and a strong support community to help users navigate the platform and troubleshoot issues.

Possible disadvantages of Dataiku

  • Pricing
    Dataiku can be expensive, particularly for small businesses and startups. The cost may be a barrier to entry for organizations with limited budgets.
  • Resource Intensive
    The platform can be resource-hungry, requiring significant computing power, which may necessitate additional investments in hardware or cloud services.
  • Learning Curve for Advanced Features
    Although the basic interface is user-friendly, mastering advanced features and customizations can require a steep learning curve and significant training.
  • Limited Offline Capabilities
    Dataiku relies heavily on cloud services for many of its functionalities. This dependence might be restrictive in environments with limited or no internet access.
  • Custom Model Flexibility
    While Dataiku supports many machine learning frameworks, the process of integrating custom or niche models can be cumbersome compared to using those frameworks directly.
  • Dependency on Ecosystem
    The seamless experience of Dataiku often relies on the broader cloud and data ecosystem. Changes or issues in integrated services can impact its performance and reliability.

Analysis of Email This

Overall verdict

  • Email This is a reliable and effective tool for users who want to focus on content without interruptions from ads or unnecessary elements. It can be particularly useful for those who prefer reading content offline or need to access their saved articles across multiple devices.

Why this product is good

  • Email This is considered good because it provides a simple and efficient way to save web pages for later reading, minus the ads and distractions. It allows users to save content to their email with a single click, making it accessible across all devices and platforms.

Recommended for

  • Users who prefer email as a primary organizational tool
  • Individuals seeking a distraction-free reading experience
  • Professionals and students who need to save articles for research or later reference
  • Users who want a cross-platform solution for saving and reading web content

Email This videos

Getting started with EmailThis

Dataiku videos

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

Category Popularity

0-100% (relative to Email This and Dataiku)
Bookmark Manager
100 100%
0% 0
Data Science And Machine Learning
Bookmarks
100 100%
0% 0
Data Science Tools
0 0%
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 Email This and Dataiku

Email This Reviews

  1. Nifty little app

    EmailThis is a great app that replaces Pocket and Instapaper.

    Competitors: Pocket, Instapaper, Reader Mode

11 Pocket Alternatives You Must Try Out!
EmailThis.me, unlike other apps and sites, helps you save stuff by simply sending you an email. So now you can actually read it later by going to your inbox anytime!
Source: blog.elink.io

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.
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....

What are some alternatives?

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

Instapaper - Instapaper is a simple tool to save web pages for reading later.

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

wallabag - Save the web, freely.

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

Raindrop.io - All your articles, photos, video & content from web & apps in one place.

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