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What is Wikimedia Enterprise?
Collect data from Wikimedia projects in multiple languages, employ metadata tailored for Wikimedia Enterprise, and detect instances of vandalism or notable alterations at the article level. By harnessing Wikimedia Enterprise, your organization can unlock a multitude of opportunities, such as constructing knowledge graphs, creating voice assistants or bots, training advanced models, and producing rich datasets, among various other uses. With access to one of the largest public data collections available, you can enjoy a unified framework and guaranteed accessibility. This valuable resource is perfect for boosting the capabilities of voice assistants, enhancing the quality of search engine results, training machine learning models, and enriching proprietary datasets. Moreover, equip your organization to establish a knowledge graph that fosters collaboration among different teams, ultimately driving increased efficiency and innovation across all departments. This interconnected approach not only streamlines processes but also cultivates a culture of shared knowledge and continuous improvement.
What is DataHub?
We help organizations of any scale in designing, developing, and enhancing strategies to manage their data efficiently and realize its full potential. At Datahub, we provide an extensive selection of datasets at no charge, along with a Premium Data Service for customized or additional data, complete with guaranteed updates. Datahub offers crucial and commonly-used data packaged as high-quality, user-friendly, and open data sets. Users have the ability to securely share and elegantly present their data online, taking advantage of features like quality assurance checks, version control, data APIs, notifications, and seamless integrations. Data acts as the fastest avenue for individuals, teams, and organizations to publish, deploy, and share structured information while emphasizing both efficiency and ease of use. By utilizing our open-source framework, you can streamline your data processes, allowing you to either publicly share and showcase your data or keep it private according to your needs. Our offerings are fully open source, supported by professional maintenance and assistance, delivering a comprehensive solution where all elements work in harmony. Beyond just providing tools, we present a standardized methodology and framework for effectively managing your data, ensuring that you can tap into its value seamlessly. This holistic approach guarantees that every user can fully leverage the significance of their data, enabling greater insights and decision-making capabilities. As a result, organizations can maximize their data's impact in their respective fields.
Integrations Supported
AWS Marketplace
Anomalo
Astro
DataWorks
Datafold
MaxCompute
STRM
Integrations Supported
AWS Marketplace
Anomalo
Astro
DataWorks
Datafold
MaxCompute
STRM
API Availability
Has API
API Availability
Has API
Pricing Information
$.01 per request
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Wikimedia Enterprise
Company Website
enterprise.wikimedia.com
Company Facts
Organization Name
DataHub
Date Founded
2018
Company Website
datahub.io
Categories and Features
API Management
API Design
API Lifecycle Management
Access Control
Analytics
Dashboard
Developer Portal
Testing Management
Threat Protection
Traffic Control
Version Control
Categories and Features
Data Management
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge