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What is Apache TinkerPop?

Apache TinkerPopâ„¢ is a dynamic graph computing framework that caters to both online transaction processing (OLTP) in graph databases and online analytical processing (OLAP) within graph analytic systems. At the heart of this framework lies Gremlin, a robust graph traversal language that empowers users to craft complex queries and traversals on their application's property graph with finesse. Each traversal in Gremlin comprises a sequence of steps that can be nested, offering significant flexibility in how data is explored and analyzed. Fundamentally, a graph is formed by interconnected vertices and edges, each capable of containing various key/value pairs referred to as properties. Vertices represent unique entities such as people, places, or events, while edges denote the relationships that link these vertices together. For instance, a vertex could signify an individual who knows another person, attended a specific event, or visited a certain place recently. This framework proves especially advantageous when tackling intricate domains filled with diverse objects (vertices) that can be linked through various types of relationships (edges). By grasping this structural design, users can maximize the potential of their data and extract meaningful insights from their interconnected networks. Ultimately, the ability to navigate and analyze such complex relationships enhances decision-making processes and drives innovation across various fields.

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

G.V() - Gremlin IDE
AWS App Mesh
AWS Marketplace
Amazon Quantum Ledger Database (QLDB)
Apache Groovy
Docker
Java
KeyLines
KgBase
New Relic
Node.js
Python
ReGraph
Tom Sawyer Perspectives
metaphactory

Integrations Supported

G.V() - Gremlin IDE
AWS App Mesh
AWS Marketplace
Amazon Quantum Ledger Database (QLDB)
Apache Groovy
Docker
Java
KeyLines
KgBase
New Relic
Node.js
Python
ReGraph
Tom Sawyer Perspectives
metaphactory

API Availability

Has API

API Availability

Has API

Pricing Information

Free
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

Apache Software Foundation

Company Location

United States

Company Website

tinkerpop.apache.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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