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Description

Apache TinkerPop™ serves as a framework for graph computing, catering to both online transaction processing (OLTP) with graph databases and online analytical processing (OLAP) through graph analytic systems. The traversal language utilized within Apache TinkerPop is known as Gremlin, which is a functional, data-flow language designed to allow users to effectively articulate intricate traversals or queries related to their application's property graph. Each traversal in Gremlin consists of a series of steps that can be nested. In graph theory, a graph is defined as a collection of vertices and edges. Both these components can possess multiple key/value pairs referred to as properties. Vertices represent distinct entities, which may include individuals, locations, or events, while edges signify the connections among these vertices. For example, one individual might have connections to another, have participated in a certain event, or have been at a specific location recently. This framework is particularly useful when a user's domain encompasses a diverse array of objects that can be interconnected in various ways. Moreover, the versatility of Gremlin enhances the ability to navigate complex relationships within the graph structure seamlessly.

Description

jsonviewer.tools is a robust and engaging platform designed for the visualization of JSON data, enabling users to effortlessly view, analyze, and delve into intricate JSON structures. It offers both interactive 2D and compact graph visualizations, complete with zoom, pan, and hover link features for an enhanced experience. Users can also upload CSV files to display them in an organized, sortable table format. Additionally, there is an option for external 3D JSON graph visualizations, further elevating the flexibility of the platform. This tool supports various file formats, allowing the upload and visualization of JSON, CSV, and YAML files seamlessly. Users have the ability to double-click any JSON key to generate a visual graph for that key and export it as a PNG image, facilitating easy sharing and presentation. Furthermore, the platform allows users to modify the graph's orientation, choosing between horizontal or vertical displays. Theme customization is also available, letting users toggle between light, dark, or personalized color themes to suit their preferences. A comparison feature enables side-by-side analysis of two JSON files, enhancing data review efficiency. Lastly, the dummy JSON generator allows users to quickly create sample JSON data for testing or demonstration purposes, making this tool versatile for a variety of use cases.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Apache Groovy Yes 
Docker Yes 
G.V() Gremlin IDE Yes 
JSON No 
Java Yes 
Node.js Yes 
Python Yes 

Integrations

Apache Groovy No 
Docker No 
G.V() Gremlin IDE No 
JSON Yes 
Java No 
Node.js No 
Python No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

$1.99/month
Free Trial No 
Free Version Yes 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Apache Software Foundation

Country

United States

Website

tinkerpop.apache.org

Vendor Details

Company Name

JSONViewer.tools

Founded

2024

Country

India

Website

jsonviewer.tools/

Product Features

Product Features

Data Visualization

Analytics No 
Content Management No 
Dashboard Creation No 
Filtered Views No 
OLAP No 
Relational Display No 
Simulation Models No 
Visual Discovery No 

Alternatives

Alternatives

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