Software Alternatives, Accelerators & Startups

data.world VS AWS Shell

Compare data.world VS AWS Shell and see what are their differences

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data.world logo data.world

The social network for data people

AWS Shell logo AWS Shell

An integrated shell for working with the AWS CLI. Contribute to awslabs/aws-shell development by creating an account on GitHub.
  • data.world Landing page
    Landing page //
    2023-09-26
  • AWS Shell Landing page
    Landing page //
    2023-08-28

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

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.

AWS Shell features and specs

  • Interactive Environment
    AWS Shell provides an interactive command-line environment designed to help users interact more easily with AWS services. It enhances the user experience by offering features like auto-complete and command history.
  • Intelligent Recommendations
    The tool provides suggestions and documentation for AWS commands, which can be very helpful for both new and experienced users by reducing the time spent looking up documentation.
  • Command Completion
    AWS Shell supports inline command completion, which allows users to quickly access available commands and their options, improving efficiency and productivity.
  • Cross-Platform
    Being based on Python, AWS Shell is cross-platform and can be run on different operating systems like Windows, macOS, and Linux.

Possible disadvantages of AWS Shell

  • Outdated Repository
    The repository may not be actively maintained, leading to potential issues with compatibility with newer AWS SDK versions or missing features introduced in later AWS CLI releases.
  • Learning Curve
    Users who are accustomed to using the standard AWS CLI may need to spend time learning how to effectively leverage the interactive features of AWS Shell.
  • Limited Customization
    Compared to more advanced shell tools and integration features, AWS Shell may offer limited customization options for power users who wish to fine-tune their development environment.
  • Dependency on Python
    Since AWS Shell runs on Python, users need to ensure that Python is installed and configured, which could be a constraint for environments with strict software policies.

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 AWS Shell)
Data Dashboard
100 100%
0% 0
Developer Tools
0 0%
100% 100
Data Integration
100 100%
0% 0
Weather Apps
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, data.world should be more popular than AWS Shell. 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: 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

AWS Shell mentions (4)

  • 9 Ways to an EKS Cluster - Way 2 - AWS CLI
    While at it - I heartily recommend you to install aws-shell which boosts your aws cli productivity by providing graphical autocompletion, hints and shortcuts as shown in the image below. I only discovered it recently myself and it's definitely a game changer! - Source: dev.to / over 1 year ago
  • Starting to use AWS CLI at work. Need beginner tips.
    Aws-shell will improve your life :) https://github.com/awslabs/aws-shell. Source: over 3 years ago
  • My Most Loved AWS Developer Tools & Resources
    With aws-shell you're able to quickly run commands against any AWS API from your local terminal with great auto-completion. I use it very regularly and it reduces the need to jump to the documentation. You can find it on Github but can also install it easily via your favorite package manager like homebrew. - Source: dev.to / over 3 years ago
  • MTurk Requester Notify-workers fails with endpoint URL error
    If so the region config is explained here: https://github.com/awslabs/aws-shell#configuration. Source: about 4 years ago

What are some alternatives?

When comparing data.world and AWS Shell, 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.

AWS Amplify - JavaScript library for app development using cloud services

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.

LocalStack - LocalStack collects & analyzes the social media activity on every business in America. 

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

aws-cli - Universal Command Line Interface for Amazon Web Services