Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
AllegroGraph represents a revolutionary advancement that facilitates limitless data integration through a proprietary methodology that merges all types of data and isolated knowledge into a cohesive Entity-Event Knowledge Graph, which is capable of handling extensive big data analytics. It employs distinctive federated sharding features that promote comprehensive insights and allow for intricate reasoning across a decentralized Knowledge Graph. Additionally, AllegroGraph offers an integrated version of Gruff, an innovative browser-based tool designed for visualizing graphs, helping users to explore and uncover relationships within their enterprise Knowledge Graphs. Furthermore, Franz's Knowledge Graph Solution encompasses both cutting-edge technology and expert services aimed at constructing robust Entity-Event Knowledge Graphs, leveraging top-tier tools, products, and extensive expertise to ensure optimal performance. This comprehensive approach not only enhances data utility but also empowers organizations to derive deeper insights and drive informed decision-making.
Description
Gather information from Wikimedia projects in various languages, utilize metadata specifically designed for Wikimedia Enterprise, and identify vandalism or significant changes at the article level. Unlock the possibilities within your organization by leveraging Wikimedia Enterprise to create knowledge graphs, develop voice assistants or bots, train models, and generate extensive enriched datasets, among other applications. With access to one of the largest public data repositories available online, you can benefit from a cohesive structure and assured accessibility. This resource is ideal for enhancing voice assistants, enriching search engine content, training machine learning algorithms, and supplementing private datasets. Furthermore, empower your organization to build a knowledge graph that can be utilized collaboratively across different teams to enhance overall productivity and innovation.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
Apache Solr
Yes
Cloudera
Yes
Docker
Yes
Hackolade
Yes
Kubernetes
Yes
MongoDB
Yes
Openverse
No
PoolParty
Yes
Swarm
Yes
Integrations
Apache Solr
No
Cloudera
No
Docker
No
Hackolade
No
Kubernetes
No
MongoDB
No
Openverse
Yes
PoolParty
No
Swarm
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
Yes
Pricing Details
$.01 per request
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Franz Inc.
Country
San Francisco Bay Area
Website
www.franz.com
Vendor Details
Company Name
Wikimedia Enterprise
Website
enterprise.wikimedia.com
Product Features
Data Visualization
Analytics
No
Content Management
No
Dashboard Creation
No
Filtered Views
No
OLAP
No
Relational Display
No
Simulation Models
No
Visual Discovery
No
Database
Backup and Recovery
Yes
Creation / Development
Yes
Data Migration
Yes
Data Replication
Yes
Data Search
Yes
Data Security
Yes
Database Conversion
Yes
Mobile Access
Yes
Monitoring
Yes
NOSQL
Yes
Performance Analysis
Yes
Queries
Yes
Relational Interface
No
Virtualization
Yes
Knowledge Management
Artificial Intelligence (AI)
No
Cataloging / Categorization
No
Collaboration
No
Content Management
No
Decision Tree
No
Discussion Boards
No
Full Text Search
No
Knowledge Base Management
No
Self Service Portal
No
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No
Natural Language Processing
Co-Reference Resolution
No
In-Database Text Analytics
No
Named Entity Recognition
No
Natural Language Generation (NLG)
No
Open Source Integrations
No
Parsing
No
Part-of-Speech Tagging
No
Sentence Segmentation
No
Stemming/Lemmatization
No
Tokenization
No
NoSQL Database
Auto-sharding
Yes
Automatic Database Replication
Yes
Data Model Flexibility
Yes
Deployment Flexibility
Yes
Dynamic Schemas
Yes
Integrated Caching
Yes
Multi-Model
Yes
Performance Management
Yes
Security Management
Yes
Product Features
API Management
API Design
No
API Lifecycle Management
No
Access Control
No
Analytics
No
Dashboard
No
Developer Portal
No
Testing Management
No
Threat Protection
No
Traffic Control
No
Version Control
No