Software Alternatives, Accelerators & Startups

GIMP VS Dataiku

Compare GIMP 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.

GIMP logo GIMP

GIMP is a multiplatform photo manipulation tool.

Dataiku logo Dataiku

Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.
  • GIMP Landing page
    Landing page //
    2018-09-30
  • Dataiku Landing page
    Landing page //
    2023-08-17

Dataiku

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

GIMP features and specs

  • Free and Open Source
    GIMP is completely free to use and open source, allowing users to download, modify, and distribute the software without any cost.
  • Cross-Platform Compatibility
    GIMP is compatible with multiple operating systems including Windows, macOS, and Linux, providing flexibility for users on different platforms.
  • Extensive Plugin Support
    GIMP supports a wide range of plugins, which can be used to enhance functionality and customize the software to suit specific needs.
  • Powerful Editing Tools
    GIMP offers a comprehensive set of image editing tools for tasks such as photo retouching, image composition, and image authoring, suitable for both beginners and advanced users.

Possible disadvantages of GIMP

  • Complex Interface
    The user interface can be overwhelming and not as intuitive as other commercial software, which can pose a steep learning curve for new users.
  • Performance Issues
    Some users experience performance issues, such as slow rendering times, especially when working with large files or applying multiple layers and effects.
  • Limited Professional Features
    Compared to industry-standard software like Adobe Photoshop, GIMP lacks some advanced features and tools that professionals might need for high-end work.
  • Inconsistent Updates
    Updates and new features can be inconsistent, as the development relies on a community of volunteers rather than a dedicated team.

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 GIMP

Overall verdict

  • GIMP is generally considered a good alternative to commercial image editing software, especially for those who are looking for a cost-effective solution. While it may not have all the advanced features or polished interface of some paid options, it is powerful enough for most editing tasks and keeps improving with regular updates.

Why this product is good

  • GIMP (GNU Image Manipulation Program) is a free and open-source image editor that offers a wide range of tools and features for photo retouching, image composition, and image authoring. It is highly customizable and supports various plugins, making it a flexible option for different design needs. Its active community provides extensive support and resources for users.

Recommended for

    GIMP is recommended for beginners, hobbyists, and professionals who need a robust image editor without a financial commitment. It's suitable for users who are comfortable with learning open-source software and those who need a tool for basic to mid-level image editing tasks.

GIMP videos

Gimp vs Photoshop - Photo Editing Software - COMPARISON 2018

More videos:

  • Review - GIMP 2020 Preview and GIMP 2019 Recap
  • Review - 10 Reasons to Use GIMP in 2020 Over Photoshop

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 GIMP and Dataiku)
Graphic Design Software
100 100%
0% 0
Data Science And Machine Learning
Image Editing
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 GIMP and Dataiku

GIMP Reviews

  1. Clipping Path universe
    · Working at Clipping Path ·
    A great site

    This is a great site for photo editing and the software is supper.

    Pros:    Trusted

12 Best Free PosterMyWall Alternatives and Competitors
You can use GIMP as a basic paint tool, a high-quality photo editor, a tool to process many images at once online, a way to make lots of images, or even to change the format of an image. GIMP can do even more because you can add extra features to it using plugins and extensions. You can make it do just about anything you like.
Source: mockey.ai
10 Best Photopea Software Alternatives in 2024 (Free & Paid)
There are 1,439 votes for GIMP and 14 votes for Photopea. GIMP gets 4.3/5, and Photopea gets 4.8/5. These rankings come from real user reviews and can help you choose between the two based on your industry’s needs.
Best Adobe Photoshop alternatives of 2024
In our experience, GIMP was slightly less responsive and used a few more resources than its proprietary counterpart, but this can be easily forgiven on the basis that GIMP always has been and always will be free and open source.
10 Best Adobe Illustrator Alternatives
Check out GIMP, one of the best free Illustrator alternatives which is ideal for any creative.
16+ Best Web Design Software in 2022 (Ranked by a Trusted Expert)
GIMP stands for GNU Image Manipulation Program. It’s a free and open-source software for editing images and a valuable tool to have in your arsenal.

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....

Social recommendations and mentions

Based on our record, GIMP seems to be more popular. It has been mentiond 59 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

GIMP mentions (59)

  • Yurt Calculator
    Image Creative Commons (CC) BY-SA-NC 2005-2017, developed, designed and written by René K. Müller Graphics & illustrations made with Inkscape, Tgif, Gimp, PovRay, GD.pm Web-Site powered by FreeBSD & Debian/Linux - 100% Open Source. Source: over 3 years ago
  • I just cannot understand why they did Paint so bad
    Paint.NET for a familiar paradigm with nicer features. Pinta for an old school, simple Paint experience. Krita for more advanced drawing. Gimp for editing/manipulating photos. Source: over 3 years ago
  • Had to make This after seeing all the post over and over again
    If you don't want to pay for photoshop, check out the Gnu Image Manipulation Program at http://gimp.org which is free. It has most of what you'd want photoshop for. Source: over 3 years ago
  • Super, just Super.
    As good as this suggestion is, without proper links and explanation it means nothing. GEGL is a type of plugins for GIMP, which can adjust the settings of already present effects and create new ones. The most notable ones are made by LinuxBeaver. Source: over 3 years ago
  • Useful apps for Ux designers
    GIMP: FOSS alternative to Photoshop. Like Inkscape, it’s not directly related to UI, but might be handy. Source: over 3 years ago
View more

Dataiku mentions (0)

We have not tracked any mentions of Dataiku yet. Tracking of Dataiku recommendations started around Mar 2021.

What are some alternatives?

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

Adobe Photoshop - Adobe Photoshop is a webtop application for editing images and photos online.

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

Affinity Photo - Affinity is the imaging and design suite for creative professionals exclusively for Mac.

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

Krita - Krita is a professional FREE and open source painting program. It is made by artists that want to seaffordable art tools for everyone. Concept art. texture and matte painters, illustrations and comics.

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