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What is CubicWeb?

The first and foremost step in your workflow should be to model your data, as applications might change over time, but the data itself remains a stable foundation. Once your model is effectively implemented, your CubicWeb application will be functional, enabling you to progressively add beneficial features for your users. RQL, which is derived from your application model, is a succinct language that highlights the attributes and relationships present within the data. Although it bears resemblance to SPARQL, RQL is typically regarded as more accessible for users. After a RQL query extracts a data graph, multiple views can be utilized to showcase the information in the most relevant manner. This design philosophy is crucial to the overall architecture of CubicWeb. Permissions are meticulously specified within the data model, ensuring a high level of accuracy. Additionally, every RQL query submitted to the engine is subjected to security checks to guarantee safe data handling practices. CubicWeb employs a traditional SQL database for data storage and management, with PostgreSQL being the preferred option for many users. By capitalizing on these features, CubicWeb not only improves functionality but also emphasizes the importance of security and data integrity. Ultimately, the careful integration of these aspects leads to a robust environment for application development.

What is Amazon Neptune?

Amazon Neptune is a powerful and efficient fully managed graph database service that supports the development and operation of applications reliant on complex interconnected datasets. At its foundation is a uniquely crafted, high-performance graph database engine optimized for storing extensive relational data while executing queries with minimal latency. Neptune supports established graph models like Property Graph and the W3C's RDF, along with their associated query languages, Apache TinkerPop Gremlin and SPARQL, which facilitates the effortless crafting of queries that navigate intricate datasets. This service plays a crucial role in numerous graph-based applications, such as recommendation systems, fraud detection, knowledge representation, drug research, and cybersecurity initiatives. Additionally, it equips users with tools to actively identify and analyze IT infrastructure through an extensive security framework. Furthermore, the service provides visualization capabilities for all infrastructure components, which assists in planning, forecasting, and mitigating risks effectively. By leveraging Neptune, organizations can generate graph queries that swiftly identify identity fraud patterns in near-real-time, especially concerning financial transactions and purchases, thereby significantly enhancing their overall security protocols. Ultimately, the adaptability and efficiency of Neptune make it an invaluable resource for businesses seeking to harness the power of graph databases.

Media

Media

Integrations Supported

AWS App Mesh
AWS Marketplace
Amazon Quantum Ledger Database (QLDB)
G.V() Gremlin IDE
KeyLines
KgBase
New Relic
Python
ReGraph
Tom Sawyer Perspectives
metaphactory

Integrations Supported

AWS App Mesh
AWS Marketplace
Amazon Quantum Ledger Database (QLDB)
G.V() Gremlin IDE
KeyLines
KgBase
New Relic
Python
ReGraph
Tom Sawyer Perspectives
metaphactory

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

CubicWeb

Company Website

www.cubicweb.org

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/neptune/

Categories and Features

Categories and Features

NoSQL Database

Auto-sharding
Automatic Database Replication
Data Model Flexibility
Deployment Flexibility
Dynamic Schemas
Integrated Caching
Multi-Model
Performance Management
Security Management

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