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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
Create innovative React graph visualization tools that transform interconnected data into valuable insights. With ReGraph’s user-friendly data-driven API, you can seamlessly incorporate graph visualizations into your React applications in no time. Deliver tailored, high-performance graph visualizations to your users, no matter where they are located. For React developers, ReGraph provides a straightforward and organized coding experience, featuring familiar logic, straightforward state management, and thorough documentation for its props. You have the freedom to determine where your data is hosted and how your components will look and function. This solution is compatible across all browsers and devices, effortlessly integrating with any server or database. It offers a completely adaptable approach to constructing a custom React graph visualization application. ReGraph simplifies the process of developing robust React graph visualization applications, with every aspect meticulously optimized for peak performance, including its layout algorithms and an advanced graphics rendering engine. This flexibility empowers developers to create unique visual experiences tailored to their specific needs.
API Access
Has API
API Access
Has API
Integrations
AWS App Mesh
AWS Marketplace
Amazon Neptune
Amazon Quantum Ledger Database (QLDB)
ArangoDB
Azure Cosmos DB
Cayley
DataStax
G.V() Gremlin IDE
JanusGraph
Integrations
AWS App Mesh
AWS Marketplace
Amazon Neptune
Amazon Quantum Ledger Database (QLDB)
ArangoDB
Azure Cosmos DB
Cayley
DataStax
G.V() Gremlin IDE
JanusGraph
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/neptune/
Vendor Details
Company Name
Cambridge Intelligence
Country
United Kingdom
Website
cambridge-intelligence.com/regraph/
Product Features
NoSQL Database
Auto-sharding
Automatic Database Replication
Data Model Flexibility
Deployment Flexibility
Dynamic Schemas
Integrated Caching
Multi-Model
Performance Management
Security Management
Product Features
Data Visualization
Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery
