JanusGraph IDE
& Graph Visualization Tool

Explore, query and visualize your graph data in JanusGraph with gdotv.

A Purpose-Built IDE for JanusGraph Developers

For querying, visualization, and analysis, gdotv is purpose-built to support JanusGraph users. Use gdotv for all your day-to-day operations on your JanusGraph database. With the ability to interactively edit vertices and edges, as well as render large graphs for investigation purposes, gdotv’s functionality is optimized for JanusGraph’s behavior and APIs.

Looking to visualize your JanusGraph graph database? Some of gdotv’s exciting features include the first-ever Gremlin query debugger, and a variety of qualify-of-life features developed for the Gremlin query language, such as syntax highlighting, autocomplete suggestions and built-in Gremlin documentation.

Combine this with gdotv’s powerful and intuitive UI, including the graph data explorer, data schema view, and customizable graph view, and you can navigate your JanusGraph data more easily than ever before.

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JanusGraph

The Linux Foundation

Query languages supported by gdotv: Gremlin

Learn more about JanusGraph

An Overview of JanusGraph

JanusGraph is an open source graph database engine built under the Linux Foundation. It offers high scalability and flexible storage/indexing configuration options.

JanusGraph’s internal implementation branches from the Apache TinkerPop™ framework, with the goal of optimizing the storage and querying of vast amounts of graph data. As a distributed, massively scalable graph database, JanusGraph supports large numbers of concurrent users, complex traversals, and analytic graph queries. It also supports native integration with the Apache TinkerPop graph stack: Gremlin, Gremlin Server and Gremlin Console.

https://gdotv.com/wp-content/uploads/2024/10/Janusgraph.png

A sample enterprise deployment architecture highlighting the versatility of JanusGraph

JanusGraph is a transactional database, meaning it supports concurrent users performing write operations, and it is typically deployed using a multi-machine cluster to perform graph analytics over large datasets. It’s a popular choice for enterprises, and many organizations have deployed JanusGraph successfully, including eBay and Netflix.

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What’s Possible with JanusGraph + gdotv

Easy Installation & Setup

Effortlessly integrate gdotv with your JanusGraph graph database with a simplified plug-and-play database connector. The gdotv database client provides straightforward database connection and configuration instructions to get you started in less than a minute.

This JanusGraph IDE is available to download for Windows, macOS, and Linux with a one-click installer to get you started instantly.

Connecting to JanusGraph with the gdotv database visualization tool is as easy as 1-2-3!

Manage all your database connections and queries from one central console.

Centralized Connection Management

gdotv can be used to query and compare data from a huge range of graph database vendors – simultaneously! We don’t just work with JanusGraph: gdotv’s visualization tools fully integrate with various other graph technologies, including all Apache TinkerPop™ compatible graph databases and most LPG and RDF providers.

gdotv is fully compatible with query languages like Gremlin, Cypher, Google SQL, SQL:2023, SPARQL and more. Using an intuitive UI means you’ll be able to switch between your connections and queries seamlessly.

State-of-the-Art Gremlin Editor

The gdotv Gremlin code editor is the most powerful available – it offers data schema-accurate auto completion and embedded official documentation for Gremlin to give you all the information and suggestions you need to write your JanusGraph queries faster and more effectively.

gdotv’s built-in documentation for Gremlin, right at your fingertips

A sample graph display in gdotv using loading custom image file URL from vertex properties

Customizable Data Visualization

You can create custom visualization rules for your graph database with gdotv to determine the look and feel of your data.

The gdotv database client boasts easy-to-configure style options that you can use to customize vertices and edges based on their labels and property values.

You can choose any color, size, or background image and adjust other elements to match your preference.

No-Code Data Exploration with the gdotv Graph Data Explorer

Use the built-in gdotv Graph Data Explorer to navigate your JanusGraph data without using queries.

The Graph Data Explorer allows you to define path patterns to query from your data, using filters on both your vertices and edges. Elements in the declared path can be filtered according to their label, direction, and property values, allowing you to perform complex path-pattern searches with no code.

The Graph Data Explorer enables no-code path exploration directly against your JanusGraph graph database in just a few clicks

Access your data model

Instantly Load & View Your Data Model

Understanding and verifying your data schema is critical component of graph management. This is why gdotv provides an overview of your data structure with the data model view.

For JanusGraph, there is no need to provide a data model, as gdotv is able to infer the schema directly from the data itself. This is always just a click away, meaning that you always have an bird’s-eye view of your vertices, edges, and properties right at your fingertips.

Modify Your JanusGraph Graph Data Directly within gdotv

Want to adjust something in your graph? Take a hands-on approach and manage your JanusGraph graph directly.

Using gdotv, you can directly create, modify, and delete edges and vertices – as well as modify the properties associated with them – allowing you to make changes on the fly.

Create, update or delete vertices, edges, and properties interactively

Plan ahead and review query execution to optimize efficiency

Get Query Profiles & Traversal Explanations in 1 Click

A query execution plan provides a roadmap for how your query will be executed, while query profiles provide a runtime report of how they performed. Both ensure efficient use of your graph database.

gdotv pulls the query plan from your JanusGraph database’s own functionality and displays the results, giving you instant feedback on query execution and performance.

Take Advantage of Syntax Validation

Using gdotv language highlighting and syntax checking for Gremlin makes your code easier to understand and visually parse, warning you of any error that would prevent it from executing against your JanusGraph instance.

Intuitive interface with syntax highlighting and validation

Advanced graph traversal simulation & visualization using the gdotv debugger

Test JanusGraph Queries with the gdotv Debugger

The combination of the gdotv query debugging and profiling toolkit gives you unparalleled control to inspect the behavior and output of your graph traversals with just a few clicks.

Advanced Authentication Support

Enterprise implementations of Gremlin Server and JanusGraph sometimes have custom authentication and authorization plugins that third-party solutions struggle to integrate with due to their bespoke nature.

gdotv supports basic authentication capabilities for username/password via standard Gremlin driver functionality as well as Kerberos authentication or execution of a custom script to generate bespoke credentials on the fly.

This is ideally suited to enterprise Gremlin Server deployments that feature integrations to the enterprise’s internal user directory or that implement their own authentication and authorization module.

To find out more, check out the documentation.

Take advantage of authentication support in gdotv

JanusGraph + gdotv Blog Posts

January 9, 2026

The Weekly Edge: Knowledge Graphs at Netflix & Bloomberg, Graphs on Postgres, & Make Your Music SPARQL [9 January 2026]

Bryce Merkl Sasaki

December 10, 2024

G.V() on AWS Marketplace: Your Favorite Graph DB Client, Now in Your Browser

Arthur

Frequently Asked Questions (FAQs)

What is JanusGraph used for?

JanusGraph is a graph database for querying and storing large amounts of graph data. It can be distributed across a multi-machine cluster to achieve high scalability.

JanusGraph also powers several tools, such as Eclipse Keti, an access control service to protect RESTful APIs; Apache Atlas, which provides metadata management for governance; the code reviewing engine Exakat for PHP static analysis; the application migration and assessment software Windup; among others.

What is the difference between JanusGraph and Neo4j?
JanusGraph is a graph database engine, and Neo4j is a full graph database with significant differences in behavior and implementation.

JanusGraph is suitable for storing and querying large-scale graphs using a modular architecture that supports various data storage and index management backends. Neo4j comes bundled with its own data storage and index management backend and is generally considered not as highly scalable or optimized as JanusGraph.

JanusGraph is optimized for storage as it supports multiple backends, allowing teams to choose a suitable option. Neo4j has a built-in storage option with limited options to choose from.

As an open source project, a user can freely use, modify, and distribute JanusGraph. Neo4j operates with a dual licensing model with both open source community and enterprise editions.

Neo4j doesn’t have built-in optional support for distributed graph processing, whereas JanusGraph supports integration with Apache Spark for distributed graph processing.

JanusGraph has growing levels of community support whereas Neo4j already has a wealth of resources and a strong community that interacts on graph discussion forums.

Neo4j uses Cypher as its primary query language, while JanusGraph’s primary graph query language is Gremlin.

How can I get started with JanusGraph and gdotv?

Getting started with JanusGraph and gdotv is easy. It’s just one simple installation, available on Windows, macOS and Linux. No prerequisites, additional configuration or installation required. You can get started in seconds.

gdotv automatically detects your connection setting requirements based on your database hostname and prompts you for the required information for an easy onboarding experience.

Want a step-by-step walkthrough? Make sure to check out our demo, Get Started with JanusGraph + gdotv on YouTube.

Why use Gremlin?

JanusGraph uses the Gremlin query language. Gremlin, being a traversal language, allows you to navigate the nodes and edges of your graph, filter them by their properties, and perform complex aggregations and pattern-matching operations to extract valuable insights.

It has a unique design that breaks from the convention of established languages such as SQL to provide a development experience tailored to the interconnected nature of graphs.

As an open source framework, Apache TinkerPop benefits from the support of a large community of users, vendors, and contributors that build on top of the project to provide enterprise-ready graph database implementations, complete with features such as index management and storage backend configuration.

What's the advantage of using LPGs over RDF?

Graph databases typically fall into two models: Labeled Property Graph (LPG) and Resource Description Framework (RDF).

The LPG model covers a broad class of databases, including JanusGraph, that use nodes, edges, properties and labels to represent graphs. They are optimised for real-time use and excel in applications like fraud detection, social network analysis and recommendation algorithms. There are also a wide range of methods to enforce schema compliance, with flexible conventions and definitions.

The RDF model refers to a highly standardized form of data management using global identifiers. Information is stored as a series of directed “triple” statements connecting a subject, predicate and object together. In addition, various languages built on RDF (such as RDFS and OWL) allow the construction of sophisticated ontologies and semantic reasoning. The high level of standardization also simplifies data integration from disparate sources. This makes RDF ideal for applications in large knowledge graph construction and research.

LPGs excel when performance and ease-of-use are a priority. Users typically find LPGs more intuitive, and they can be tailored to specific use-cases quickly and easily without the semantic complexity or steep learning curve of RDF.

What graph data visualization scenarios do gdotv customers most often implement?
Organizing data derived via powerful data visualization tools have several real-life applications. Graph visualization and analysis resources allow users to make informed decisions based on actual data.

Here are a few examples of the type of companies or clients that can leverage JanusGraph along with the robust data visualization aspect offered by gdotv:

Data scientists and managers: Visual data analysis allows users to uncover and understand emerging patterns and relationships between data points, discover valuable insights to make informed decisions on ways to transform business processes.

Cybersecurity groups: Build security graphs to represent protected assets, infrastructure, code dependencies or networks and visualize the connected relationships throughout the organization.

Business intelligence analysts: Create customized reports and visualizations that can be easily executed for analysts to investigate and communicate on interaction between business data points.

Fraud detection: Detect fraud patterns by modeling relationships between transactions and financial actors, then interactively visualize graph data to uncover and present potentially suspicious behavior.

Will my data be secure if I use gdotv?

gdotv Desktop runs locally on your device – no deployment needed and no handing over your data to a third-party system. Everything happens within your organisation’s network, and we have no access to your data.

It’s easy to install and configure too: our setup wizard gets you connected to your graph database in seconds.

Can I connect more than one database at a time?

Yes! Whether you’d like to access multiple JanusGraph instances, or interact with other graph technology vendors at the same time, gdotv doesn’t limit you to a single database. You can establish as many connections as you like from within the intuitive UI, and seamlessly switch between them.

Connecting is easy, and there’s no need to manage multiple vendor-specific user interfaces. With gdotv, query and compare results from all your RDF and labeled property graph databases under one umbrella.

gdotv: The JanusGraph IDE

Turn your graph data into connected insights when you use gdotv to query, explore, and visualize your JanusGraph graph database.

Sign up for a free trial today and discover how gdotv amps up your productivity as the perfect JanusGraph IDE and graph visualization tool.

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JanusGraph IDE& Graph Visualization Tool