GraphBase

GraphBase

FactNexus
Java

Java

Oracle

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

JanusGraph is a scalable graph database optimized for storing and querying graphs containing hundreds of billions of vertices and edges distributed across a multi-machine cluster. JanusGraph is a project under The Linux Foundation, and includes participants from Expero, Google, GRAKN.AI, Hortonworks, IBM and Amazon. Elastic and linear scalability for a growing data and user base. Data distribution and replication for performance and fault tolerance. Multi-datacenter high availability and hot backups. All functionality is totally free. No need to buy commercial licenses. JanusGraph is fully open source under the Apache 2 license. JanusGraph is a transactional database that can support thousands of concurrent users executing complex graph traversals in real time. Support for ACID and eventual consistency. In addition to online transactional processing (OLTP), JanusGraph supports global graph analytics (OLAP) with its Apache Spark integration.

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.

About

PuppyGraph empowers you to seamlessly query one or multiple data stores as a unified graph model. Graph databases are expensive, take months to set up, and need a dedicated team. Traditional graph databases can take hours to run multi-hop queries and struggle beyond 100GB of data. A separate graph database complicates your architecture with brittle ETLs and inflates your total cost of ownership (TCO). Connect to any data source anywhere. Cross-cloud and cross-region graph analytics. No complex ETLs or data replication is required. PuppyGraph enables you to query your data as a graph by directly connecting to your data warehouses and lakes. This eliminates the need to build and maintain time-consuming ETL pipelines needed with a traditional graph database setup. No more waiting for data and failed ETL processes. PuppyGraph eradicates graph scalability issues by separating computation and storage.

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

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

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

Audience

Anyone that stores and uses query graphs looking for a Graph Database solution

Audience

Developers looking for a Programming Language solution

Audience

Individuals and companies searching for a solution to query their data as a graph

Support

Phone Support
24/7 Live Support
Online

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

API

Offers API

Screenshots and Videos

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

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

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Reviews/Ratings

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

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Review this Software

Reviews/Ratings

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

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

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

FactNexus
Founded: 2010
Australia
graphbase.ai/

Company Information

JanusGraph
Founded: 2016
United States
janusgraph.org

Company Information

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

Company Information

PuppyGraph
United States
www.puppygraph.com

Alternatives

Alternatives

Alternatives

Alternatives

AnzoGraph DB

AnzoGraph DB

Cambridge Semantics
InfiniteGraph

InfiniteGraph

Objectivity
InfiniteGraph

InfiniteGraph

Objectivity
Apache TinkerPop

Apache TinkerPop

Apache Software Foundation
GraphDB

GraphDB

Ontotext

Categories

Categories

Categories

Categories

Integrations

ActiveControl
Augment Code
Azure Notification Hubs
DevGPT
DexProtector
Eclipse Theia
Formatter V7
JavaScript
Komodo Edit
Koyeb
LEADTOOLS Recognition SDK
Llama 3.3
ORMIT™-APEX
Refraction
Speakeasy
Text Generator
Viduli
WireMock
Yuan Jhen DevOps PaaS
txtai

Integrations

ActiveControl
Augment Code
Azure Notification Hubs
DevGPT
DexProtector
Eclipse Theia
Formatter V7
JavaScript
Komodo Edit
Koyeb
LEADTOOLS Recognition SDK
Llama 3.3
ORMIT™-APEX
Refraction
Speakeasy
Text Generator
Viduli
WireMock
Yuan Jhen DevOps PaaS
txtai

Integrations

ActiveControl
Augment Code
Azure Notification Hubs
DevGPT
DexProtector
Eclipse Theia
Formatter V7
JavaScript
Komodo Edit
Koyeb
LEADTOOLS Recognition SDK
Llama 3.3
ORMIT™-APEX
Refraction
Speakeasy
Text Generator
Viduli
WireMock
Yuan Jhen DevOps PaaS
txtai

Integrations

ActiveControl
Augment Code
Azure Notification Hubs
DevGPT
DexProtector
Eclipse Theia
Formatter V7
JavaScript
Komodo Edit
Koyeb
LEADTOOLS Recognition SDK
Llama 3.3
ORMIT™-APEX
Refraction
Speakeasy
Text Generator
Viduli
WireMock
Yuan Jhen DevOps PaaS
txtai
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