Name: data.world
Rating: 8 (1 reviews)
Author: data.world

Help Desk

Web and Video Conferencing

Customer Support

AI Code Generation

Beta Testing

Innovation Management

No-Code Development

Product Analytics

Version Control

Development

Learning Management

Student Management

Education

Business Intelligence (BI)

Collaboration

Corporate Social Responsibility (CSR)

Demand Planning

Enterprise Asset Management

Enterprise Content Management

Environmental Health and Safety (EHS)

Internal Communications

Enterprise

Accounting

Anti-Money Laundering (AML)

Merger and Acquisition

Travel Management

Finance and Accounting

Applicant Tracking

Corporate Learning Management

Employer of Record (EOR)

HR Management

Payroll

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

Access Gateways

Cloud Storage

Data Center Cooling

Data Center Networking

Fraud Detection

Function as a Service (FaaS)

Graph Database

Integration Platform as a Service (iPaaS)

LAN Switches

Network Operating Systems

Network Performance Monitoring

Object Storage

Open-Source Database

Rack Servers

Storage as a Service (STaaS)

Value-Added Resellers (VARs)

Information Technology

A/B Testing

Ad Serving & Retargeting

All-in-One Marketing

Content Management

Email Marketing

Marketing Automation

Social Media Management

Survey & Forms Building

Web Analytics

Marketing

Project Management

Video Conferencing

Professional Services

Customer Relationship Management (CRM)

Lead Management

Sales Incentive Compensation Management

Trade Promotion Management

Sales

Data-Centric Audit Protection (DCAP)

Database Security

GDPR Compliance

Security

Apparel

Clinical Data Management

Clinical Trial Management

Interior Design

Lease Management

Online Ordering

Simulation

Warranty Management

Vertical-Specific

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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.

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.

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 applications.

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data.world

Data catalog software helps businesses find, validate, and organize their data assets. These products often include automated metadata discovery tools to help keep them comprehensive and relevant.

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Support Rating

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data.world 2020-11-05 10:24:11

TrustRadius is a technology and business research firm based in Austin, Texas. The company is known as a review platform for verified B2B technology and software reviews through a proprietary algorithm and human verification.

TrustRadius

Home

Data Catalog Software

We use data.world across the organization to ingest survey data from various sources, query it then create subsets of data which are shared with our teams around the world. Queried datasets are also directly integrated with a number of 3rd party visualization platforms which are embedded into a public data portal. Prior to implementing data.world our organization had no central data repository and no reliable way of sharing and compiling data.

Ingest data from almost any source
Join disparate datasets
Integrate with other platforms
Create subsets of data and share across teams

Organize queries/datasets by categories
Allow data edits for admins
Requires knowledge of SQL - visual SQL builder would help with accessibility

Minimized the organizational reliance on Excel & email
Provides more effective validation & standardization
Allows staff easy access to data
Slow adoption across the organization due to learning curve

Microsoft Power BI, Shiny, Mapbox, dbForge Studio for MySQL, dbForge Studio for SQL Server, Amazon Relational Database Service (RDS), Adobe PhotoShop, DaVinci Resolve

data.world

Overview

What is data.world?