Software Alternatives, Accelerators & Startups

Dataiku VS Changingday

Compare Dataiku VS Changingday and see what are their differences

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Dataiku logo Dataiku

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

Changingday logo Changingday

VR for autism.
  • Dataiku Landing page
    Landing page //
    2023-08-17
  • Changingday Landing page
    Landing page //
    2023-10-10

Dataiku

Release Date
2013 January
Startup details
Country
United States
State
New York
City
New York
Founder(s)
Clรฉment 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.

Changingday features and specs

  • Focus on organizational change management
    Changingday specializes in change management, offering dedicated tools and methodologies designed to help organizations navigate transitions, transformations, and cultural shifts more effectively.
  • Structured change frameworks
    The platform provides structured frameworks and approaches for managing change, which can help teams follow proven processes rather than improvising during complex organizational changes.
  • People-centric approach
    Changingday emphasizes the human side of change, focusing on how people experience and adapt to organizational transformations, which is critical for successful change adoption.
  • Consulting and digital combined
    The company appears to blend consulting expertise with digital tools, offering clients both strategic guidance and practical platforms to execute change initiatives.
  • Engagement and communication tools
    Changingday offers tools aimed at improving stakeholder engagement and communication during change processes, helping ensure that employees and teams stay informed and involved throughout transitions.

Possible disadvantages of Changingday

  • Niche market focus
    Being highly specialized in change management means the platform may not appeal to organizations looking for broader project management or general business transformation tools that cover multiple disciplines.
  • Limited public information
    The website and publicly available information about Changingday can be somewhat limited, making it difficult for potential customers to fully evaluate features, pricing, and capabilities before engaging.
  • Unclear pricing transparency
    Like many consulting-oriented platforms, Changingday does not appear to offer clear, upfront pricing on their website, which can make it harder for smaller organizations to assess affordability.
  • Smaller brand recognition
    Compared to larger change management and consulting firms like Prosci, McKinsey, or established software providers, Changingday has less brand recognition, which may make it a harder sell to enterprise decision-makers.
  • Potentially limited integrations
    As a more specialized and smaller platform, Changingday may have fewer integrations with popular enterprise tools (like Slack, Microsoft Teams, Jira, etc.) compared to larger, more established competitors.

Analysis of Changingday

Overall verdict

  • I don't have verified, reliable information about a website called Changingday (changingday.com), so I can't confirm whether it is legitimate, trustworthy, or good quality. I'd recommend doing independent research before using or purchasing from this site.

Why this product is good

  • No verified data available about this specific domain's reputation, reviews, or business practices
  • Unable to confirm business legitimacy, ownership, or track record
  • Cannot verify product/service quality, customer service, or fulfillment reliability
  • Recommend checking independent review sites, WHOIS domain registration info, and consumer protection resources before engaging

Recommended for

  • Not applicable without verified information
  • Users should independently verify the site through trusted review platforms, BBB, or Trustpilot before making any decisions
  • Exercise caution with any unfamiliar e-commerce or service site until legitimacy is confirmed

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

Changingday videos

No Changingday videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Dataiku and Changingday)
Data Science And Machine Learning
Adventure Games
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Data Dashboard
71 71%
29% 29

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 Changingday

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 companyโ€™s flagship product features a team-based user interface for both data analysts and data scientists. Dataikuโ€™s unified framework for development and deployment provides immediate access to all the features needed to design data tools from scratch....

Changingday Reviews

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What are some alternatives?

When comparing Dataiku and Changingday, 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.

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

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

OpenCV - OpenCV is the world's biggest computer vision library

Exploratory - Exploratory enables users to understand data by transforming, visualizing, and applying advanced statistics and machine learning algorithms.

htm.java - htm.java is a Hierarchical Temporal Memory implementation in Java, it provide a Java version of NuPIC that has a 1-to-1 correspondence to all systems, functionality and tests provided by Numenta's open source implementation.