GraphBase

GraphBase

FactNexus
Java

Java

Oracle
+

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About

Amazon Neptune is a fast, reliable, fully managed graph database service that makes it easy to build and run applications that work with highly connected datasets. The core of Amazon Neptune is a purpose-built, high-performance graph database engine optimized for storing billions of relationships and querying the graph with milliseconds latency. Amazon Neptune supports popular graph models Property Graph and W3C's RDF, and their respective query languages Apache TinkerPop Gremlin and SPARQL, allowing you to easily build queries that efficiently navigate highly connected datasets. Neptune powers graph use cases such as recommendation engines, fraud detection, knowledge graphs, drug discovery, and network security. Proactively detect and investigate IT infrastructure using a layered security approach. Visualize all infrastructure to plan, predict and mitigate risk. Build graph queries for near-real-time identity fraud pattern detection in financial and purchase transactions.

About

GraphBase is a Graph Database Management System (Graph DBMS) engineered to simplify the creation and maintenance of complex data graphs. Complex and highly-connected structures are a challenge for the Relational Database Management System (RDBMS). A graph database provides much better modelling utility, performance and scalability. The current crop of graph database products - the triplestores and property graphs - have been around for nearly two decades. They're powerful tools, they have many uses, but they're still not suited to the management of complex data structures. With GraphBase, our goal was to simplify the management of complex data structures, so that your data could become something more. It could become Knowledge. We achieved this by redefining how graph data should be managed. In GraphBase, the graph is a first-class citizen. You get a graph equivalent of the "rows and tables" paradigm that makes a Relational Database so easy to use.

About

The Java™ Programming Language is a general-purpose, concurrent, strongly typed, class-based object-oriented language. It is normally compiled to the bytecode instruction set and binary format defined in the Java Virtual Machine Specification. In the Java programming language, all source code is first written in plain text files ending with the .java extension. Those source files are then compiled into .class files by the javac compiler. A .class file does not contain code that is native to your processor; it instead contains bytecodes — the machine language of the Java Virtual Machine1 (Java VM). The java launcher tool then runs your application with an instance of the Java Virtual Machine.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Any business or organization seeking a solution to build and run graph applications with highly connected datasets

Audience

Companies and developers interested in a graph database management system solution optimize the creation and maintenance of complex data graphs

Audience

Developers looking for a Programming Language solution

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Amazon
Founded: 1994
United States
aws.amazon.com/neptune/

Company Information

FactNexus
Founded: 2010
Australia
graphbase.ai/

Company Information

Oracle
docs.oracle.com/javase/8/docs/technotes/guides/language/index.html

Alternatives

Alternatives

Alternatives

AnzoGraph DB

AnzoGraph DB

Cambridge Semantics
Apache TinkerPop

Apache TinkerPop

Apache Software Foundation
InfiniteGraph

InfiniteGraph

Objectivity
GraphDB

GraphDB

Ontotext

Categories

Categories

Categories

NoSQL Database Features

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

Integrations

AtomicJar
BLACKBOX AI
DexProtector
Enhance
GPT-4.1
Gemini
GuardRails
Kontra
MileMaker
OpenAI o3-mini-high
OpenCage Geocoding API
PDF Generator API
PhpStorm
Snyk
Sonatype SBOM Manager
SpotBugs
Synth
Treblle
binds.co
gedit

Integrations

AtomicJar
BLACKBOX AI
DexProtector
Enhance
GPT-4.1
Gemini
GuardRails
Kontra
MileMaker
OpenAI o3-mini-high
OpenCage Geocoding API
PDF Generator API
PhpStorm
Snyk
Sonatype SBOM Manager
SpotBugs
Synth
Treblle
binds.co
gedit

Integrations

AtomicJar
BLACKBOX AI
DexProtector
Enhance
GPT-4.1
Gemini
GuardRails
Kontra
MileMaker
OpenAI o3-mini-high
OpenCage Geocoding API
PDF Generator API
PhpStorm
Snyk
Sonatype SBOM Manager
SpotBugs
Synth
Treblle
binds.co
gedit
Claim Amazon Neptune and update features and information
Claim Amazon Neptune and update features and information
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