Software Alternatives, Accelerators & Startups

Datawhale VS data.world

Compare Datawhale VS data.world and see what are their differences

Datawhale logo Datawhale

Powerful people data for enterprises.

data.world logo data.world

The social network for data people
  • Datawhale Landing page
    Landing page //
    2021-10-11
  • data.world Landing page
    Landing page //
    2023-09-26

data.world

Website
data.world
Release Date
2015 January
Startup details
Country
United States
State
Texas
City
Austin
Founder(s)
Brett Hurt
Employees
50 - 99

Datawhale features and specs

  • Comprehensive Learning Resources
    Datawhale offers a wide range of learning resources, including tutorials, courses, and open-source projects, which can be beneficial for both beginners and experienced data enthusiasts looking to enhance their skills.
  • Community Engagement
    Datawhale has an active community fostering collaboration among data science professionals and enthusiasts. This community engagement provides networking opportunities, peer learning, and support.
  • Free Accessibility
    Many of the resources provided by Datawhale are freely accessible, making it an attractive platform for learners who may not have the budget for paid courses or resources.
  • Open Source Contributions
    The platform encourages open-source contributions, offering users a chance to contribute to real-world projects, gain practical experience, and add value to their portfolios.

Possible disadvantages of Datawhale

  • Limited Advanced Content
    While Datawhale provides a substantial amount of beginner-friendly material, the platform may have limited resources for more advanced or specialized topics, which could be a drawback for advanced users.
  • Platform Navigation
    Some users might find navigating the platform and accessing specific resources or courses a bit challenging, particularly if they are new to online learning platforms.
  • Dependency on Community Engagement
    The effectiveness of community-driven platforms like Datawhale heavily depends on user engagement. Low participation could limit the collaborative benefits and real-time support opportunities.
  • Quality Variation
    As an open platform with many contributors, the quality of content on Datawhale can vary, meaning users may need to evaluate the materials before fully relying on them for learning.

data.world features and specs

  • Collaborative Environment
    data.world provides a platform for teams to collaborate on data projects in real-time, making it easier for data scientists, analysts, and enthusiasts to work together and share insights.
  • Integration Capabilities
    The platform supports integrations with popular tools and services like Excel, Tableau, and Python, making it easier to import, export, and manipulate data across various applications.
  • Extensive Dataset Catalog
    data.world offers a vast collection of public datasets, empowering users to find and leverage data from a wide range of sources for their projects.
  • Querying Tools
    Users can execute SQL queries directly on the data.world platform, enabling powerful data analysis and transformations within the environment.
  • User-Friendly Interface
    The platform features an intuitive user interface that makes it accessible for users with varying levels of technical expertise.

Possible disadvantages of data.world

  • Pricing
    While data.world offers a free tier, more advanced features and functionality require a paid subscription, which might be cost-prohibitive for individuals or smaller organizations.
  • Learning Curve
    Despite its user-friendly interface, there is still a learning curve associated with fully utilizing all of the platform's features, particularly for users who are not familiar with SQL or data analysis tools.
  • Performance Limitations
    For very large datasets or complex analytical operations, the platform may experience performance constraints, potentially requiring users to rely on more powerful, external data processing tools.
  • Data Privacy Concerns
    As with any cloud-based platform, there are inherent data privacy and security concerns. Users must be cautious about the sensitivity of the data they upload and ensure compliance with relevant regulations.
  • Feature Parity with Competitors
    While data.world offers many great features, some users might find that other data collaboration platforms provide more advanced or specialized tools that better suit their needs.

Analysis of data.world

Overall verdict

  • Overall, data.world is regarded as a beneficial platform for data enthusiasts, professionals, and organizations looking to collaborate on data projects. Its user-friendly interface, strong community focus, and extensive features make it a valuable resource for those working with data.

Why this product is good

  • data.world is considered a good platform for a variety of reasons. It acts as a collaborative data community where users can discover and share open data. The platform provides tools for collaborative data projects, making it easier for users to work together on data analysis and insights. It also supports a wide range of data formats and offers integrations with other tools and platforms, enhancing its versatility. Additionally, data.world emphasizes openness and transparency, which can foster trust among users who are seeking reliable data sources.

Recommended for

  • Data analysts and scientists who need a collaborative environment to work on data projects.
  • Organizations looking to share and manage their data with a broader community.
  • Educators and researchers seeking open data sets for teaching or scholarly purposes.
  • Business professionals who require integration with other data tools for enhanced data insights.

Category Popularity

0-100% (relative to Datawhale and data.world)
Data Dashboard
17 17%
83% 83
Currency Exchange
100 100%
0% 0
Data Integration
0 0%
100% 100
Data Analysis
100 100%
0% 0

User comments

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Social recommendations and mentions

Based on our record, data.world seems to be more popular. It has been mentiond 24 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.

Datawhale mentions (0)

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

data.world mentions (24)

  • Is data at every company still an absolute mess?
    I'll be sure to check out data.world propose to use it if it makes sense, thanks. Source: almost 2 years ago
  • GIS data for a project. I apologize for the banality of my request and for my English.
    Just google qgis datasets. There are so so many interesting sets you will find. Check out qgis.org, or data.world for starters. Source: about 2 years ago
  • Best way to open source a my dataset?
    But, I'm also aware that there are dedicated platforms to catalog and share data (e.g. https://www.dolthub.com/, https://data.world/), and that uploading data on Github, in general, doesn't seem best practise. Source: over 2 years ago
  • Alation vs. Atlan vs. Collibra
    The client is considering the 3 I mentioned, plus data.world. I need to research that one next. Microsoft Purview has already been considered. Source: over 2 years ago
  • Looking for christmas cost dataset by year and country.
    Im looking for Christmas cost dataset by year and country, Im looking in the data.world and other web pages and I cant found anything. Source: over 2 years ago
View more

What are some alternatives?

When comparing Datawhale and data.world, you can also consider the following products

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IBM Cloud Pak for Data - Move to cloud faster with IBM Cloud Paks running on Red Hat OpenShift – fully integrated, open, containerized and secure solutions certified by IBM.

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Informatica Intelligent Data Platform - Unleash data's potential with Informatica infrastructure services that all roll up under a robust and intelligent data integration platform.