InfiniteGraph

InfiniteGraph

Objectivity
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

InfiniteGraph is a massively scalable graph database specifically designed to excel at high-speed ingest of massive volumes of data (billions of nodes and edges per hour) while supporting complex queries. InfiniteGraph can seamlessly distribute connected graph data across a global enterprise. InfiniteGraph is a schema-based graph database that supports highly complex data models. It also has an advanced schema evolution capability that allows you to modify and evolve the schema of an existing database. InfiniteGraph’s Placement Management Capability allows you to optimize the placement of data items resulting in tremendous performance improvements in both query and ingest. InfiniteGraph has client-side caching which caches frequently used node and edges. InfiniteGraph's DO query language enables complex "beyond graph" queries not supported by other query languages.

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

Anyone looking for a Graph Database solution

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

Objectivity
Founded: 1988
United States
www.infinitegraph.com

Company Information

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

Alternatives

Alternatives

Alternatives

AllegroGraph

AllegroGraph

Franz Inc.
Apache TinkerPop

Apache TinkerPop

Apache Software Foundation
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

Amazon Q
AsyncAPI
BaseRock AI
Black Duck
CaptainCasa Enterprise Client
Code to Flowchart
DashO
Gemini 2.5 Pro Preview (I/O Edition)
Google Cloud Run
Granica
Grok 4 Heavy
K.Explorer
LDRA Tool Suite
OnBarcode
Refraction
Roost.ai
RunMyJobs by Redwood
SonarQube for IDE
Statsig
Text Generator

Integrations

Amazon Q
AsyncAPI
BaseRock AI
Black Duck
CaptainCasa Enterprise Client
Code to Flowchart
DashO
Gemini 2.5 Pro Preview (I/O Edition)
Google Cloud Run
Granica
Grok 4 Heavy
K.Explorer
LDRA Tool Suite
OnBarcode
Refraction
Roost.ai
RunMyJobs by Redwood
SonarQube for IDE
Statsig
Text Generator

Integrations

Amazon Q
AsyncAPI
BaseRock AI
Black Duck
CaptainCasa Enterprise Client
Code to Flowchart
DashO
Gemini 2.5 Pro Preview (I/O Edition)
Google Cloud Run
Granica
Grok 4 Heavy
K.Explorer
LDRA Tool Suite
OnBarcode
Refraction
Roost.ai
RunMyJobs by Redwood
SonarQube for IDE
Statsig
Text Generator
Claim Amazon Neptune and update features and information
Claim Amazon Neptune and update features and information
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