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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
A worldwide device knowledge graph delivers organized and comprehensive insights regarding electronic devices, their functionalities, and the services they provide, along with the interconnections among them. Each device found in a household possesses an array of properties, including its brand, model, series number, manufacturer, present features and services, both physical and software attributes, compatible devices, regional data, and much more. This vast assortment of information about nearly every audiovisual device globally is housed within QuickSet’s device knowledge graph. QuickSet utilizes this knowledge graph to offer an extensive suite of functionalities for any given device. In addition to basic control, this knowledge graph infuses essential context into all user commands and actions, facilitating the dynamic identification of nearby devices. The algorithms employed by QuickSet depend on the knowledge graph that encompasses devices with diverse control capabilities, communication interfaces, and protocols, ensuring seamless interaction among devices. Ultimately, this interconnected system enhances user experience by making device management more intuitive and efficient.
API Access
Has API
No
API Access
Has API
No
Integrations
AWS App Mesh
Yes
AWS Marketplace
Yes
Amazon Quantum Ledger Database (QLDB)
Yes
G.V() Gremlin IDE
Yes
KeyLines
Yes
KgBase
Yes
MapWeave
Yes
New Relic
Yes
ReGraph
Yes
Tom Sawyer Perspectives
Yes
Integrations
AWS App Mesh
No
AWS Marketplace
No
Amazon Quantum Ledger Database (QLDB)
No
G.V() Gremlin IDE
No
KeyLines
No
KgBase
No
MapWeave
No
New Relic
No
ReGraph
No
Tom Sawyer Perspectives
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
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
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/neptune/
Vendor Details
Company Name
QuickSet Cloud
Country
United States
Website
quicksetcloud.com/device-knowledge-graph/
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
