Software Alternatives, Accelerators & Startups

Dataiku VS pkgsrc

Compare Dataiku VS pkgsrc 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.

Dataiku logo Dataiku

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

pkgsrc logo pkgsrc

pkgsrc is a framework for building over 17,000 open source software packages.
  • Dataiku Landing page
    Landing page //
    2023-08-17
  • pkgsrc Landing page
    Landing page //
    2023-06-30

Dataiku

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

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.

pkgsrc features and specs

  • Cross-Platform Support
    pkgsrc is designed to be a portable package management system and can be used on a variety of Unix-like operating systems, including NetBSD, Solaris, Linux, and macOS. This cross-platform capability makes it a versatile tool for developers working in diverse environments.
  • Consistency Across Systems
    Using pkgsrc allows for a consistent package management experience regardless of the underlying operating system, reducing the learning curve and maintenance overhead for administrators managing multiple systems.
  • Comprehensive Package Collection
    pkgsrc offers a wide range of software packages, providing a robust collection that can meet diverse user needs from scientific libraries to web applications.
  • Quarterly Releases
    With quarterly releases, pkgsrc provides a balanced approach between stability and keeping software up to date, offering users new features regularly while maintaining reliability.
  • Flexible Build Options
    pkgsrc supports a flexible build system, allowing users to customize package builds with specific options or dependencies, tailored to their specific needs or system requirements.

Possible disadvantages of pkgsrc

  • Smaller Community
    Compared to other popular package management systems like apt (Debian/Ubuntu) or yum (RedHat/CentOS), pkgsrc has a relatively smaller community, which might affect the availability of support and community-driven improvements.
  • Potentially Older Software
    While pkgsrc maintains stable quarterly releases, it may occasionally lag behind other systems in terms of offering the very latest versions of certain software, which might not be ideal for users needing the newest features.
  • Manual Configuration
    Setting up pkgsrc might require manual interventions and configurations, which could pose a hurdle for users unfamiliar with its setup process or those who prefer more automated solutions.
  • Dependency Management
    Although pkgsrc is quite capable in dependency handling, some users may find its dependency resolution to be less automatic or seamless compared to other systems which offer more integrated solutions.
  • Performance Overhead
    Because it is designed to be cross-platform, there can be some performance overhead associated with using pkgsrc compared to native package managers that are optimized for specific operating systems.

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

pkgsrc videos

pkgsrc on ChromeOS

More videos:

  • Review - Using pkgsrc for multi-platform deployments in heterogeneous environments, G Clifford Williams

Category Popularity

0-100% (relative to Dataiku and pkgsrc)
Data Science And Machine Learning
Developer Tools
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Package Manager
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 Dataiku and pkgsrc

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....

pkgsrc Reviews

We have no reviews of pkgsrc yet.
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Social recommendations and mentions

Based on our record, pkgsrc seems to be more popular. It has been mentiond 11 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.

pkgsrc mentions (11)

  • Debian isn't waiting for 2038 to blow up, switches to 64-bit time for everything
    > Most open source software packages are also compiled for BSD variants, they switched to 64 bit time_t a long time ago and reported back upstream any problems. * NetBSD in 2012: https://www.netbsd.org/releases/formal-6/NetBSD-6.0.html * OpenBSD in 2014: http://www.openbsd.org/55.html For packaging, NetBSD uses their (multi-platform) Pkgsrc, which has 29,000 packages, which probably covers a large swath of... - Source: Hacker News / about 1 year ago
  • Our Audit of Homebrew
    > https://pkgsrc.smartos.org/install-on-macos/ Note that Pkgsrc is a NetBSD-derived project. * https://pkgsrc.org The Joyent folks leveraged it to allow their customers, who were perhaps not as familiar with Solaris/SmartOS, a larger pool of packages. Pkgsrc was running on Solaris before Joyent, Joyent built on top of it. - Source: Hacker News / about 2 years ago
  • Show HN: Brioche – A new Nix-like package manager
    Https://pkgsrc.org/ from netbsd runs on many systems. - Source: Hacker News / over 2 years ago
  • Installing packages without an internet connection?
    It seems according to pkgsrc.org that pkgin might follow the PKG_PATH environment variable. You're supposed to set PKG_PATH="http://cdn.NetBSD.org/pub/pkgsrc/packages/NetBSD/$(uname -p)/$(uname -r|cut -f '1 2' -d.)/All/", and according to uname(1), -p gives the processor architecture and -r gives the operating system [kernel] release. Source: over 3 years ago
  • pkgsrc.se is no more :(
    It seems like pkgsrc.org hasn’t got the news yet. Source: over 3 years ago
View more

What are some alternatives?

When comparing Dataiku and pkgsrc, 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.

Conda - Binary package manager with support for environments.

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

Homebrew - The missing package manager for macOS

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

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