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Description
Amazon Neptune is an efficient and dependable graph database service that is fully managed, facilitating the development and operation of applications that handle intricate, interconnected datasets. At its heart, Amazon Neptune features a specialized, high-performance database engine tailored for the storage of billions of relationships while enabling rapid querying with latency measured in milliseconds. It accommodates widely-used graph models, including Property Graph and W3C's RDF, along with their associated query languages, Apache TinkerPop Gremlin and SPARQL, which simplifies the process of crafting queries for navigating complex datasets. This service supports various graph-based applications, including recommendation systems, fraud detection mechanisms, knowledge graphs, drug discovery initiatives, and enhanced network security protocols. With a proactive approach, it enables the detection and analysis of IT infrastructure threats through a multi-layered security framework. Furthermore, it allows users to visualize their entire infrastructure to effectively plan, forecast, and address potential risks, while also enabling the creation of graph queries for the near-real-time identification of fraudulent patterns in financial and purchasing activities, thereby enhancing overall security and efficiency.
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
AWS App Mesh
Yes
AWS Marketplace
Yes
Active Directory
No
Amazon Quantum Ledger Database (QLDB)
Yes
G.V() Gremlin IDE
Yes
KeyLines
Yes
KgBase
Yes
MapWeave
Yes
Microsoft Excel
No
New Relic
Yes
Integrations
AWS App Mesh
No
AWS Marketplace
No
Active Directory
Yes
Amazon Quantum Ledger Database (QLDB)
No
G.V() Gremlin IDE
No
KeyLines
No
KgBase
No
MapWeave
No
Microsoft Excel
Yes
New Relic
No
Pricing Details
Custom Pricing based on database storage, location, etc
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
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/neptune/
Vendor Details
Company Name
eccenca
Founded
2013
Country
Germany
Website
eccenca.com/products/enterprise-knowledge-graph-platform-corporate-memory
Product Features
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
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
