Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • Vertex AI Reviews & Ratings
    732 Ratings
    Company Website
  • StarTree Reviews & Ratings
    26 Ratings
    Company Website
  • DbVisualizer Reviews & Ratings
    511 Ratings
    Company Website
  • Volumo Reviews & Ratings
    20 Ratings
    Company Website
  • ManageEngine EventLog Analyzer Reviews & Ratings
    179 Ratings
    Company Website
  • Label LIVE Reviews & Ratings
    166 Ratings
    Company Website
  • Quant Reviews & Ratings
    86 Ratings
    Company Website
  • Frontegg Reviews & Ratings
    360 Ratings
    Company Website
  • Rezku Point of Sale Reviews & Ratings
    59 Ratings
    Company Website
  • TeleRay Reviews & Ratings
    6 Ratings
    Company Website

What is HugeGraph?

HugeGraph is a highly efficient and scalable graph database designed to handle billions of vertices and edges with impressive performance, thanks to its strong OLTP functionality. This database facilitates effortless storage and querying, making it ideal for managing intricate data relationships. Built on the Apache TinkerPop 3 framework, it enables users to perform advanced graph queries using Gremlin, a powerful graph traversal language. A standout feature is its Schema Metadata Management, which includes VertexLabel, EdgeLabel, PropertyKey, and IndexLabel, granting users extensive control over graph configurations. Additionally, it offers Multi-type Indexes that support precise queries, range queries, and complex conditional queries, further enhancing its querying capabilities. The platform is equipped with a Plug-in Backend Store Driver Framework, currently compatible with various databases such as RocksDB, Cassandra, ScyllaDB, HBase, and MySQL, while also providing the flexibility to integrate further backend drivers as needed. Furthermore, HugeGraph seamlessly connects with Hadoop and Spark, augmenting its data processing prowess. By leveraging Titan's storage architecture and DataStax's schema definitions, HugeGraph establishes a robust framework for effective graph database management. This rich array of features solidifies HugeGraph’s position as a dynamic and effective solution for tackling complex graph data challenges, making it a go-to choice for developers and data architects alike.

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
Hadoop
KeyLines
KgBase
New Relic
ReGraph
Spark
Tom Sawyer Perspectives
metaphactory

Integrations Supported

AWS App Mesh
AWS Marketplace
Amazon Quantum Ledger Database (QLDB)
G.V() - Gremlin IDE
Hadoop
KeyLines
KgBase
New Relic
ReGraph
Spark
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

HugeGraph

Date Founded

2018

Company Website

github.com/hugegraph/hugegraph

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

Popular Alternatives

Apache TinkerPop Reviews & Ratings

Apache TinkerPop

Apache Software Foundation

Popular Alternatives

Dgraph Reviews & Ratings

Dgraph

Hypermode
AnzoGraph DB Reviews & Ratings

AnzoGraph DB

Cambridge Semantics