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data.world VS Streamscape

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

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data.world logo data.world

The social network for data people

Streamscape logo Streamscape

Data Fabric
  • data.world Landing page
    Landing page //
    2023-09-26
  • Streamscape Landing page
    Landing page //
    2020-08-05

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

Streamscape

Website
streamscapes.ie
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.

Streamscape features and specs

  • Environmental Education
    Streamscape provides extensive educational resources that aim to raise awareness about environmental conservation and the health of aquatic ecosystems.
  • Community Engagement
    The platform encourages community involvement by promoting citizen science and providing tools for local communities to engage in stream conservation.
  • Data Collection and Analysis
    Streamscape offers robust tools for collecting and analyzing environmental data, which can support scientific research and policy-making.
  • Customization
    Projects and resources can be tailored to meet the specific needs of different community groups, ensuring relevance and effectiveness.

Possible disadvantages of Streamscape

  • Limited Scope
    The focus on streams and aquatic ecosystems may exclude other important environmental areas that require attention.
  • Resource Intensity
    Successfully implementing Streamscape programs may require significant time and resource investment from participating communities.
  • Access and Inclusivity
    There may be challenges in reaching underrepresented communities or those with limited access to technology and the internet.
  • Scalability
    While effective on a small scale, some initiatives may face challenges when scaled up to a broader audience or larger geographic area.

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.

data.world videos

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Streamscape videos

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The Streamscape Aquascape - 3 Month Update 5 Gallon Fluval Chi

More videos:

  • Review - Who Are These Kids? | OMORI Streamscape Part 1

Category Popularity

0-100% (relative to data.world and Streamscape)

data.world

Streamscape

Data Dashboard
81 81%
Data Dashboard
19% 19
Data Integration
72 72%
Data Integration
28% 28
AI Platform
64 64%
AI Platform
36% 36
Productivity
100 100%
Productivity
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.

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

Streamscape mentions (0)

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

What are some alternatives?

When comparing data.world and Streamscape, 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.

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.

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

Teradata QueryGrid - Data Fabric

Zetaris Platform - Data Fabric

MarkLogic Data Hub Platform - Data Hub Central is the collaborative, self-service user experience for building your cloud data hub on MarkLogic Data Hub Service.

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