Databases

LadybugDB IDE and graph visualization tool

Connect gdotv to LadybugDB, then query, visualise and debug your graph in one workspace. Free three-week trial on Windows, macOS and Linux.

State-of-the-Art Cypher Editor

State-of-the-Art Cypher Editor in gdotv (screenshot)

gdotv’s comprehensive Cypher query editor comes with syntax highlighting, autocomplete suggestions and built-in documentation.

Explore, Manage and Modify your Graph

Explore, Manage and Modify your Graph in gdotv (screenshot)

Effortlessly traverse your graph with the no-code Data Explorer, the data model view, interactive layouts, and customization panels to manage and even edit your graph on the fly.

Dashboards, Profiles and Visualization

Dashboards, Profiles and Visualization in gdotv (screenshot)

Communicate the most important elements of your graph using gdotv’s visualization and analytics tools, which are designed to convey key insights to both technical and non-technical audiences.

Try gdotv with LadybugDB

Query, visualise and model your LadybugDB data on your laptop, in your own cloud or across the whole team.

gdotv Desktop

The ultimate graph database IDE.

Install and connect your first graph database in 2 minutes.

gdotv Team

The unified workbench for graph data teams.

Deploy to your team in under 15 minutes

gdotv Enterprise

The universal graph intelligence platform.

For organization-wide deployments. Bring graph data directly to your analysts.

About LadybugDB

LadybugDB is an embedded graph database management system and successor to Kuzu. It is built on academic research and is oriented towards scalability and performance, with an emphasis on interoperability and support for complex analytical workloads.

You can use gdotv to easily connect to your LadybugDB database, then perform essential day-to-day graph database development and management tasks such as querying, data analysis, data management, debugging, testing and visualization.

Learn more about LadybugDB in the LadybugDB documentation.

Frequently asked questions

How can I get started with LadybugDB and gdotv?

Getting started with LadybugDB 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 LadybugDB + gdotv on YouTube.

Why use Cypher?

LadybugDB 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 features does gdotv provide for Cypher?

gdotv’s Cypher query editor provides syntax highlighting, autocomplete suggestions and built-in Cypher documentation to help you optimize your queries.

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 LadybugDB, 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 LadybugDB 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 Team and Enterprise versions run 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 LadybugDB 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.

Related posts

All blog posts

LadybugDB and Snowflake: Building a Graph From a Relational Data Store

Learn how to use LadybugDB’s ADBC extension to turn a large Snowflake TPC-DS dataset into a graph, then explore and query the results with gdotv.

Introducing pgGraph Support, Node Icons & Language-Aware Terminology [gdotv v3.63.137 Release Notes]

Discover gdotv v3.63.137: pgGraph support brings graph queries to PostgreSQL, plus node icons, language-aware vertex & edge terminology, RDF lang-tag grouping.

Kuzu’s Legacy and the New Wave of Embedded Graph Databases

Find out how Kuzu pioneered embedded graph databases, their legacy, how LadybugDB carries the project on, and where you should look next.

Cypher SET: Updating Node Properties in Your Graph Database [Byte-Sized Cypher Series]

Catch this video in the Byte-Sized Cypher series by Jason Koo teaching you how to use the SET clause in the Cypher query language to update node properties.