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data.world VS Commons Marketplace

Compare data.world VS Commons Marketplace and see what are their differences

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Contents:
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  2. » Reviews
  3. » Alternatives

data.world logo data.world

The social network for data people

Commons Marketplace logo Commons Marketplace

A marketplace to find and publish open data sets.
  • data.world Landing page
    Landing page //
    2023-09-26
  • Commons Marketplace Landing page
    Landing page //
    2019-05-24

data.world

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

Commons Marketplace

Website
commons.oceanprotocol.com
Pricing URL
-
Release Date
-
Edit details

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.

Commons Marketplace features and specs

  • Decentralization
    Commons Marketplace operates on Ocean Protocol's decentralized network, reducing the reliance on a single point of control and enhancing data security and ownership.
  • Data Monetization
    It provides a platform for data providers to monetize their datasets by allowing them to offer access through the marketplace.
  • Interoperability
    Ocean Protocol is designed to be interoperable with various blockchain networks, allowing seamless integration and data exchange.
  • Privacy
    The marketplace employs advanced encryption and privacy-preserving technologies, enabling secure and private data transactions.
  • Incentive Mechanisms
    Participants are rewarded for their contributions to the marketplace, encouraging active involvement and fostering a vibrant data economy.

Possible disadvantages of Commons Marketplace

  • Complexity
    Setting up and navigating a decentralized marketplace can be complex for new users, requiring a learning curve to understand blockchain and data tokenization.
  • Regulatory Uncertainty
    As with many blockchain-based platforms, there is an ongoing uncertainty regarding regulatory compliance across different jurisdictions.
  • Market Adoption
    Widespread adoption is necessary for the marketplace to reach its full potential, and it may face challenges in attracting enough data providers and consumers.
  • Transaction Costs
    The marketplace transactions may incur additional costs due to gas fees associated with blockchain operations.
  • Technology Maturity
    Being a relatively new technology, the platform may encounter technical challenges or limitations as it evolves and scales.

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 data.world and Commons Marketplace)

data.world

Commons Marketplace

Data Dashboard
100 100%
Data Dashboard
0% 0
Productivity
31 31%
Productivity
69% 69
Data Integration
100 100%
Data Integration
0% 0
AI
0 0%
AI
100% 100

User comments

Share your experience with using data.world and Commons Marketplace. For example, how are they different and which one is better?
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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.

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: over 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: over 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: almost 3 years ago
View more

Commons Marketplace mentions (0)

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

What are some alternatives?

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

Denodo - Denodo delivers on-demand real-time data access to many sources as integrated data services with high performance using intelligent real-time query optimization, caching, in-memory and hybrid strategies.

Dataset Search - Making it easier to discover datasets. Made by Google.

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.

Hello History: AI ChatBot - Chat with AI generated historical figures

K2View Fabric - K2View Fabric provides a data-centric approach to data management that delivers access to key data in real-time through patented mico-databases.

150 ChatGPT 4.0 prompts for SEO - Unlock the power of AI to boost your website's visibility.

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