Apache AGE IDE
& Graph Visualization Tool

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

A Purpose-Built IDE for Apache AGE Developers

Apache AGE is a project developed by the Apache Software Foundation. It’s an extension to PostgreSQL that delivers graph processing capability using the Cypher query language. This gives users the ability to manage relational and graph workloads within a single, powerful database system.

gdotv is here to help you manage your Apache AGE database, from both the graph database and relational database point of view. Cypher query writing is seamless in gdotv as it automatically wraps your Cypher query with the necessary SQL code. But don’t worry: you can still query your database directly using SQL too.

With gdotv, you get access to both query languages, interactive graph visualization, graph schema tracking, the ability to modify your data on the fly with an intuitive UI, and much more!

Skip Ahead to Features

Apache AGE

Apache Software Foundation.

Query languages supported by gdotv: Cypher and SQL

Learn more about Apache AGE

An Overview of Apache AGE

AGE literally stands for “A Graph Extension.” But what does that mean?

Apache AGE is a PostgreSQL extension that brings graph power to relational databases. That means your Postgres database leverages the power of both graph and relational simultaneously. In addition, you query your data using either SQL or Cypher, where the Cypher queries are parsed and wrapped in SQL.

Apache AGE an open source software, free to all users. For those who want to take advantage of both the efficiency and reliability of PostgreSQL, while also conducting the complex data analyses allowed by graph databases, Apache allows all of this to take place from a single, powerful system.

https://github.com/apache/age/blob/master/img/age-02.png?raw=true

Apache AGE offers drivers for Python, Java, Nodejs, and Go

Popular use cases of Apache AGE include fraud detection, telecommunications, finance, logistics, healthcare data, and route optimization.

Don't Take Our Word for It

Try out gdotv for yourself

Let's Go

Need More Details?

Dive into the docs

Take Me There

What’s Possible with Apache AGE + gdotv

Easy Installation and Setup

Effortlessly integrate gdotv with your Apache AGE 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 Apache AGE IDE is available to download for Windows, macOS and Linux with a one-click installer to get you started instantly.

Connecting to Apache AGE with the gdotv database visualization tool is 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 database vendors simultaneously! We don’t just work with Apache AGE: gdotv data visualization tools fully integrate with various other graph databases, 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, you’ll be able to switch between your connections and queries seamlessly.

Query with Both Cypher & SQL

The great strength of Apache AGE is the option to approach your data from both a relational and graph perspective at once.

This is why gdotv users can query their data using either SQL or Cypher. Switching between them is as easy as the click of a button!

Seamlessly switch between Cypher and SQL query editors

Also Available for Azure Database for PostgreSQL

Did you know that Apache AGE is available directly on Azure Database for PostgreSQL? It’s the easiest and cheapest way to deploy Apache AGE as a managed database service on Azure!

gdotv is fully compatible with Azure Database for PostgreSQL and supports both username/password authentication as well as EntraID authentication via the Azure CLI. To learn more, dive into the documentation here.

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 Apache AGE 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 Apache AGE graph database in just a few clicks

Access your data model

Instantly Load & View Your Data Model

Good graph management requires understanding and verifying your data schema. That’s why gdotv provides an overview of your data structure with the data model view.

For Apache AGE, the data model is retrieved using the Apache AGE Schema API, ensuring full consistency with your database’s native schema.

This is always just a click away, meaning that you always have a bird’s-eye view of your vertices, edges, and properties right at your fingertips.

Retrieve & Review Query Execution Plans in 1 Click

A query execution plan provides a roadmap for how your query will be executed, ensuring efficient use of your graph database.

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

Anticipate how your query will be executed to optimize efficiency

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

Modify Your Apache AGE Graph Data Directly within gdotv

Want to adjust something in your graph? Take a hands-on approach and manage your Apache AGE graph directly. Using gdotv, you can directly create, modify, and delete the edges and vertices – as well as modify the properties associated with them – allowing you to make changes on the fly.

Take Advantage of Syntax Validation

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

Intuitive interface with syntax highlighting and validation

gdotv’s built-in documentation for Cypher and SQL, right at your fingertips

State-of-the-Art Cypher Editor

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

Apache AGE + gdotv Blog Posts

February 6, 2026

The Weekly Edge: SanjMo on Context Graphs, Zero-ETL Graph Analytics & More

Bryce Merkl Sasaki

January 22, 2026

Announcing Ontology Support, Improved Data Model Visualization, Entra ID auth Support & More [v3.51.108 Release Notes]

Arthur

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 15, 2025

Announcing Apache AGE Support, RDF Expansion, a Brand-New Interface, Updated Labels & More [v3.48.105 Release Notes]

Amber Lennox

Frequently Asked Questions (FAQs)

How can I get started with Apache AGE and gdotv?

Getting started with Apache AGE 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 Apache AGE + gdotv on YouTube.
Why use Cypher?

Apache AGE supports the Cypher query language – the most widely adopted, fully-specified, and open query language for property graph databases. It provides an intuitive way to work with property graphs.

Cypher is a declarative query language specifically designed to handle querying graph data efficiently. With Cypher, you express what to retrieve but not how to retrieve it. This allows you to focus on the problem domain instead of worrying about the syntax.

Cypher was designed to be easy to learn but very powerful when it comes to graph analytics. This means that you can use Cypher to write complex queries relatively easily.
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 Apache AGE, 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 most gdotv customers implement?
Organizing data derived via powerful data visualization tools have several real-life applications. Graph visualization and analysis resources allow you to make informed decisions based on actual data.

Here are a few examples of the type of companies or clients that can leverage Apache AGE 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.
How does gdotv secure my data?

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 organization’s network, and we have no access to your data. gdotv Web versions run within your own environment, providing the same security benefits.

It’s easy to install and configure too: the gdotv 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 Apache AGE instances, or interact with other graph database technologies 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 Apache AGE IDE

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

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

Start My Free Trial

Stay in Touch

Want to stay connected with everything happening at gdotv? Sign up for the monthly gdotv Newsletter to get product updates, fresh blog posts, in-person events, and (sometimes) bad jokes straight to your inbox.

Sign Me Up

Or, prefer to talk with the gdotv team directly? Use the form below to get in touch.

Apache AGE IDE& Graph Visualization Tool