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Dataiku VS pikaur

Compare Dataiku VS pikaur and see what are their differences

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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.

pikaur logo pikaur

AUR helper with minimal dependencies. Review PKGBUILDs all in once, next build them all without user interaction.Inspired by pacaur, yaourt and yay.
  • Dataiku Landing page
    Landing page //
    2023-08-17
  • pikaur Landing page
    Landing page //
    2023-08-18

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

pikaur

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

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.

pikaur features and specs

  • AUR Helper
    Pikaur is an Arch User Repository (AUR) helper, which simplifies the process of installing and managing AUR packages on Arch Linux systems.
  • Interactive Search
    It provides an interactive search feature that allows users to easily find and select packages using a command-line interface.
  • Dependency Management
    Automatically resolves and manages package dependencies, making installation and updates easier for users.
  • User-friendly Interface
    Offers a user-friendly interface that improves the overall experience of managing packages compared to using standard pacman commands.
  • Sudo Privilege Management
    Manages sudo privileges efficiently, requiring fewer password prompts during package operations.

Possible disadvantages of pikaur

  • Limited to Arch-based Systems
    Pikaur is specifically designed for Arch Linux and its derivatives, limiting its use to those systems.
  • Dependency on Python
    Requires Python, meaning users need to ensure Python is installed and properly configured on their system.
  • Potential for AUR Package Issues
    Since AUR packages are user-generated, there can be inconsistencies or issues with package scripts that might affect installations.
  • Security Risks
    As with other AUR helpers, users may inadvertently install potentially harmful or insecure software from the AUR.
  • Learning Curve
    New users may face a learning curve when first using Pikaur compared to more graphical or traditional package managers.

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

pikaur videos

+ Add

Pikaur et Wish, deux successeurs potentiels à Pacaur ?

Category Popularity

0-100% (relative to Dataiku and pikaur)

Dataiku

pikaur

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Work Music
0 0%
Work Music
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Focus Music
0 0%
Focus Music
100% 100

User comments

Share your experience with using Dataiku and pikaur. For example, how are they different and which one is better?
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Reviews

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

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

pikaur Reviews

We have no reviews of pikaur yet.
Be the first one to post

Social recommendations and mentions

Based on our record, pikaur seems to be more popular. It has been mentiond 4 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.

Dataiku mentions (0)

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

pikaur mentions (4)

  • Using pikaur, how would I disable asking me "Do you want to edit PKGBUILD for <package_name> package? [Y/n]"
    Have a look here. Did you not search for the answer? That's part of the Arch(based) ethos. We tend to like to learn by reading whatever is required. :). Source: over 3 years ago
  • Nala v0.10.0 - Nala's A Legible Apt
    I was also looking for something nicer for Arch, but haven't found anything as nice as Nala. For now, I switched to pikaur, which at least displays updates in a much clearer way. Source: about 4 years ago
  • I created a tool to install AUR packages in 1 click from the website: Aurin
    Nice, but this definately needs a dependency resolver, otherwise it can only install a fraction of the available AUR packages. Since you're already using python, you may adapt your whole code on top a another python-based AUR helper like pikaur. You maybe also could take at the dep resolver of my ABS project. It's python, too, maybe not as clean as pikaur's code but simpler and not too integrated. Source: over 4 years ago
  • Which AUR-helper is recommended?
    I've been using pikaur ever since pacaur became abandonware and I'm very happy with it, can't recommend it enough. Sure, it's not implemented in Rust or Go so it's certainly not as cool as yay or paru but that doesn't really matter much to me, being an end user. I don't really care as long as it does its job, as advertised. Source: over 5 years ago

What are some alternatives?

When comparing Dataiku and pikaur, 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.

Yay - Yay is an AUR helper written in go, based on the design of yaourt, apacman and pacaur.

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

paru - An AUR helper written in Rust and based on the design of yay. It aims to be your standard pacman wrapping AUR helper with minimal interaction.

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

Trizen - Trizen AUR Package Manager: A lightweight wrapper for AUR.

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