Google Cloud Spanner Graph IDE
& Graph Visualization Tool

Explore, query and visualize your graph data in Google Cloud Spanner Graph with gdotv.

A Purpose-Built IDE for Google Cloud Spanner Graph Developers

Spanner Graph brings the native graph database experience to Google Spanner’s well-known scalability and consistency. Powered by GQL, that means Spanner Graph offers: intuitive database pattern matching, relationship traversal and filtering capabilities to familiar graph-based applications, like social networking, fraud detection and product recommendations.

gdotv is a graph database client specially built with a comprehensive suite of tools to query and investigate connected data. It’s quick to setup and easy to use, turning queries into interactive graph visualizations instantly. Whether you’re a developer, a data scientist or a business analyst, you’ll find the right features in our software to derive insights from your data effortlessly.

You can write and execute GoogleSQL queries, then visualize their results across a variety of formats, suited both to graph and relational data outputs. Our software streamlines day-to-day graph data tasks, with a wealth of Integrated Development Environment (IDE) features. Using the gdotv graph database client will ensure you get the most out of your data and your time.

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Google Cloud Spanner Graph

Google

Query languages supported by gdotv: GoogleSQL

Learn more about Google Cloud Spanner Graph

Feature image for Google Cloud Spanner Graph.

An Overview of Google Cloud Spanner Graph

Spanner Graph delivers predictable single-digit millisecond latencies, near-unlimited scalability, and a five 9s availability SLA. It also provides strong consistency and ACID transactions. Spanner’s multi-model capabilities encompass most major database use-cases with support for the following storage models:

Relational
Key-value
Graph
Vector

All these features enable you to optimize database operations, derive deeper insights from your data, and create more resilient, scalable applications.

Spanner Graph is compatible with the GoogleSQL language which encompasses relational and graph querying use cases, by combining the syntax of the standard SQL, GQL (Graph Query Language) and SQL/PGQ languages. With the strengths of SQL and GQL put together, you can query structured and connected data in a single operation.

https://gdotv.com/wp-content/uploads/2025/02/google-cloud-spanner-overview-1024x1024.png

Google Cloud Spanner’s Multi-model capabilities span a wide variety of database use cases

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What’s Possible with Google Cloud Spanner Graph + gdotv

Easy Installation and Setup

Effortlessly integrate gdotv with your Google Cloud Spanner Graph graph database with our simplified plug-and-play database connector. Our database client provides straightforward database connection and configuration instructions to get you started in less than a minute.

Our IDE is available to download for Windows, macOS and Linux. It has a one click installer to get you started instantly.

Connection to Google Cloud Spanner Graph with our database visualization tool is easy as 1-2-3!

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

Centralized Connection Management

Our software can be used to query and compare data from a huge range of database vendors, simultaneously! We don’t just work with Google Cloud Spanner Graph, our 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. Our intuitive UI means you’ll be able to switch between your connections and queries seamlessly.

Customizable Data Visualization

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

Our 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.

A sample graph display in G.V() using loading custom image file url from vertex properties

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

No-Code Data Exploration with the gdotv Graph Data Explorer

Use the built-in gdotv Graph Data Explorer to navigate your Google Cloud Spanner Graph 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 filtering according to their label, direction, and property values, allowing you to perform complex path pattern searches with no code.

Instantly Load & View Your Data Model

It’s always important to understand and verify your data schema. This is why gdotv provides an overview of your data structure with the data model view. For Google Cloud Spanner Graph, there are two methods to construct the data model. The first is that gdotv is able to directly retrieve the model, if available, using the Google Cloud Spanner Graph Schema API. Otherwise, gdotv can construct the data model directly from your data itself. 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.

Access your data model

Intuitive interface with syntax highlighting and validation

Take Advantage of Syntax Validation

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

State-of-the-Art GoogleSQL Editor

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

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

Google Cloud Spanner Graph + gdotv Blog Posts

April 8, 2026

Introducing Support for Apache HugeGraph, GoogleSQL, SHACL Constraints, & More [gdotv v3.59.116 Release Notes]

Joe Stainke

January 27, 2025

G.V() Brings Interactive Graph Visualization To Google Cloud’s Spanner Graph

Arthur

Frequently Asked Questions (FAQs)

How can I get started with Google Cloud Spanner Graph and gdotv?

Getting started with Google Cloud Spanner Graph 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 Google Cloud Spanner Graph + gdotv on YouTube.
Why use GQL (Graph Query Language)?

GQL is an ISO standard language designed for property graphs. It makes the use of graphs straightforward by providing a common structure of language and features that all graph database providers can leverage directly in their technologies.

Since Google Cloud Spanner is a multi-model database with support for relational and graph database, it has combined both querying formats under GoogleSQL, offering an unprecedented degree of flexibility and interoperability between SQL and ISO GQL.
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 Google Cloud Spanner Graph, 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 our customers 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 Google Cloud Spanner Graph 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.
Cyber security 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 organisation’s network, and we have no access to your data.

Our web version runs within your own environment, providing the same security benefits.

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 Google Cloud Spanner Graph instances, or interact with other graph 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 our 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 Google Cloud Spanner Graph IDE

Turn your graph data into connected insights when you use gdotv to query, explore, and visualize your Google Cloud Spanner Graph graph database.

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

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Google Cloud Spanner Graph IDE& Graph Visualization Tool