Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
AnzoGraph DB boasts an extensive array of analytical features that can significantly improve your analytical framework. Check out this video to discover how AnzoGraph DB operates as a Massively Parallel Processing (MPP) native graph database specifically designed for data harmonization and analytics. This horizontally scalable graph database is optimized for online analytics and tackling data harmonization issues. Addressing challenges related to linked data, AnzoGraph DB stands out as a leading analytical graph database in the market. It offers robust online performance suitable for enterprise-scale graph applications, ensuring efficiency and speed. AnzoGraph DB employs familiar SPARQL*/OWL for semantic graphs, while also accommodating Labeled Property Graphs (LPGs). Its vast array of analytical, machine learning, and data science tools empowers users to uncover new insights at remarkable speed and scale. By prioritizing context and relationships among data, you can enhance your analysis significantly. Additionally, the database enables ultra-fast data loading and execution of analytical queries, making it an invaluable asset for any data-driven organization.
Description
eccenca Corporate Memory offers an all-encompassing platform that integrates various disciplines for the management of rules, constraints, capabilities, configurations, and data within a single application. By transcending the shortcomings of conventional application-focused data management approaches, its semantic knowledge graph is designed to be highly extensible and integrates seamlessly, allowing both machines and business users to interpret it effectively. This enterprise knowledge graph platform enhances global data transparency and promotes ownership across different business lines within a complex and ever-evolving data landscape. It empowers organizations to achieve greater agility, autonomy, and automation while maintaining the integrity of existing IT infrastructures. Corporate Memory efficiently consolidates and connects data from diverse sources into a unified knowledge graph, and users can navigate their comprehensive data environment using intuitive SPARQL queries and JSON-LD frames. The platform's data management is executed through the use of HTTP identifiers and accompanying metadata, ensuring a structured and efficient organization of information. Overall, eccenca Corporate Memory positions itself as a transformative solution for modern enterprises grappling with data complexities.
API Access
Has API
No
API Access
Has API
Yes
Integrations
Active Directory
No
Amazon Web Services (AWS)
Yes
Apache Kafka
Yes
Docker
Yes
Google Cloud Platform
Yes
Jupyter Notebook
Yes
Microsoft Azure
Yes
Microsoft Excel
No
OAuth
No
Tableau
Yes
Integrations
Active Directory
Yes
Amazon Web Services (AWS)
No
Apache Kafka
No
Docker
No
Google Cloud Platform
No
Jupyter Notebook
No
Microsoft Azure
No
Microsoft Excel
Yes
OAuth
Yes
Tableau
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
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
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
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Cambridge Semantics
Founded
2007
Country
United States
Website
www.cambridgesemantics.com/anzograph/
Vendor Details
Company Name
eccenca
Founded
2013
Country
Germany
Website
eccenca.com/products/enterprise-knowledge-graph-platform-corporate-memory
Product Features
Product Features
Business Intelligence
Ad Hoc Reports
No
Benchmarking
No
Budgeting & Forecasting
No
Dashboard
Yes
Data Analysis
No
Key Performance Indicators
Yes
Natural Language Generation (NLG)
No
Performance Metrics
Yes
Predictive Analytics
No
Profitability Analysis
No
Strategic Planning
No
Trend / Problem Indicators
No
Visual Analytics
Yes
Data Discovery
Contextual Search
Yes
Data Classification
No
Data Matching
Yes
False Positives Reduction
No
Self Service Data Preparation
Yes
Sensitive Data Identification
Yes
Visual Analytics
Yes
Data Governance
Access Control
Yes
Data Discovery
Yes
Data Mapping
Yes
Data Profiling
Yes
Deletion Management
No
Email Management
No
Policy Management
Yes
Process Management
No
Roles Management
No
Storage Management
No
Data Management
Customer Data
Yes
Data Analysis
No
Data Capture
Yes
Data Integration
Yes
Data Migration
Yes
Data Quality Control
Yes
Data Security
No
Information Governance
Yes
Master Data Management
No
Match & Merge
Yes
Data Mining
Data Extraction
Yes
Data Visualization
Yes
Fraud Detection
No
Linked Data Management
Yes
Machine Learning
Yes
Predictive Modeling
No
Semantic Search
Yes
Statistical Analysis
No
Text Mining
Yes
Knowledge Management
Artificial Intelligence (AI)
No
Cataloging / Categorization
Yes
Collaboration
No
Content Management
No
Decision Tree
No
Discussion Boards
No
Full Text Search
No
Knowledge Base Management
Yes
Self Service Portal
Yes