TrustRadius Insights
Users have found the software to be invaluable in providing the data required for implementing Machine Learning models across various use …
Overview
What is data.world?
data.world in Austin offers their metadata management solution, an enterprise data catalog, allowing users to create reusable, extensible data and analysis. Capture context and knowledge as teams work, so it’s easy to understand, check, and build on what they produce.
Recent Reviews
Pricing
N/A
Unavailable
What is data.world?
data.world in Austin offers their metadata management solution, an enterprise data catalog, allowing users to create reusable, extensible data and analysis. Capture context and knowledge as teams work, so it’s easy to understand, check, and build on what they produce.
Entry-level set up fee?
- No setup fee
Offerings
- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
Would you like us to let the vendor know that you want pricing?
3 people also want pricing
Alternatives Pricing
What is Cloudera Data Platform?
Cloudera Data Platform (CDP), launched September 2019, is designed to combine the best of Hortonworks and Cloudera technologies to deliver an enterprise data cloud. CDP includes the Cloudera Data Warehouse and machine learning services as well as a Data Hub service for building custom business…
What is Qlik Catalog?
Qlik Catalog (formerly Qlik Data Catalyst) builds a secure, enterprise-scale catalog of all the data in an organization available for analytics users as a service across lakes, warehouses, transactional systems, and file systems. It is able to recognize, profile, tag, and secure data in different…
Product Details
- About
- Tech Details
What is data.world?
data.world Technical Details
| Operating Systems | Unspecified |
|---|---|
| Mobile Application | No |
Comparisons
Compare with
Reviews and Ratings
(1)
Community Insights
TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!
- Business Problems Solved
- Pros
- Cons
Users have found the software to be invaluable in providing the data required for implementing Machine Learning models across various use cases. By serving as a centralized platform, it eliminates the need for organizations to depend on multiple sources for data collection. Reviewers have praised the software for enhancing data governance models and improving the user experience, enabling developers to gain actionable insights. This capability has enabled users to break down data solutions into manageable steps, achieving incremental benefits and long-term growth for their organizations.
One key use case of the software is its ability to ingest survey data from various sources and seamlessly integrate queried datasets with third-party visualization platforms. This integration allows organizations to create subsets of data that can be easily shared with teams globally. As a result, teams can access and utilize the necessary data without relying on unreliable methods of sharing and compiling information. Prior to implementing the software, many organizations faced challenges such as a lack of a central data repository and difficulties in managing data effectively. However, the software has addressed these issues by providing a reliable and efficient solution for data collection and distribution.
User-Friendly Architecture and Design: Several reviewers have praised the user-friendliness of Data.world's architecture and design. Users found it easy to navigate and interact with the platform, making it accessible for users of all levels of technical expertise.
Single Platform for Accessing and Managing Data: Many users appreciated the convenience of having a single platform to access and manage data from multiple variants of interest. This feature saves time and effort by eliminating the need to switch between different tools or platforms.
Helpful Cloud-Native Platform Saas: The cloud-native platform Saas provided by Data.world has been highly beneficial for users in terms of data analysis, governance, and creating knowledge-related graphs. Its cloud-based nature allows for efficient collaboration among team members while ensuring scalability and reliability.
Difficult Data Availability: Some users have found it challenging to obtain enough data on Hyperspectral images through the platform. This limitation in data availability may restrict users from fully leveraging the platform's capabilities and conducting comprehensive analyses.
Restrictions on User Plans: A significant number of reviewers have expressed their desire for additional plans that do not impose limitations on the number of users. This suggests that the current plans may hinder organizations' ability to effectively utilize the product across their entire teams, potentially limiting collaboration and hindering workflow efficiency.
Steep Learning Curve: Users have consistently mentioned that beginners might find the platform complex and complicated. This indicates a steep learning curve associated with using this product, which could pose challenges for new users who are unfamiliar with its features and functionalities. Enhancements in user onboarding and intuitive interface design could help address this issue.
Attribute Ratings
Reviews
Companies can't remove reviews or game the system. Here's why
No reviews found
Try adjusting your results by removing or modifying your filters.