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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 AllegroGraph?

AllegroGraph stands out as a groundbreaking solution that facilitates limitless data integration, employing a proprietary method to consolidate fragmented data and information into an Entity Event Knowledge Graph framework designed for extensive big data analysis. By leveraging its distinctive federated sharding features, AllegroGraph delivers comprehensive insights and supports intricate reasoning over a distributed Knowledge Graph. Additionally, users of AllegroGraph can access an integrated version of Gruff, an intuitive browser-based tool for graph visualization that aids in uncovering and understanding relationships within enterprise Knowledge Graphs. Moreover, Franz's Knowledge Graph Solution not only encompasses advanced technology but also offers services aimed at constructing robust Entity Event Knowledge Graphs, drawing upon top-tier products, tools, expertise, and experience in the field. This comprehensive approach ensures that organizations can effectively harness their data for strategic decision-making and innovation.

Media

Media

Integrations Supported

Openverse

Integrations Supported

Apache Solr
Cloudera
Docker
Hackolade
Kubernetes
MongoDB
PoolParty
Swarm

API Availability

Has API

API Availability

Has API

Pricing Information

$.01 per request
Free Trial Offered?

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS
Windows
Mac

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub

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

Franz Inc.

Company Location

San Francisco Bay Area

Company Website

www.franz.com

Categories and Features

API Management

Not specified

Categories and Features

Data Visualization

Not specified

Database

Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Virtualization

Distributed Databases

Not specified

Graph Databases

Not specified

Graphing

Not specified

Knowledge Management

Not specified

Machine Learning

Not specified

NoSQL Database

Auto-sharding
Automatic Database Replication
Data Model Flexibility
Deployment Flexibility
Dynamic Schemas
Integrated Caching
Multi-Model
Performance Management
Security Management

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