FalkorDB IDE
& Graph Visualization Tool
Explore, query and visualize your graph data in FalkorDB with gdotv.
A Purpose-Built IDE for FalkorDB Developers
FalkorDB is a large language model-oriented database. FalkorDB aims to power AI applications, and is designed for a range of use cases, from agentic AI to advanced chatbots.
Where FalkorDB especially excels is in speed: it’s one of the fastest graph databases around and boasts ultra-low memory usage as well. It aims to facilitate GraphRAG for those working with complex, interconnected data.
gdotv contributes to the FalkorDB ecosystem by providing advanced graph visualization, a state-of-the-art Cypher query editor, no-code data exploration features, and much more you can discover below.
An Overview of FalkorDB
FalkorDB is a versatile graph database aiming to empower GenAI use cases. It’s designed for applications such as GraphRAG, agentic memory, chatbots, fraud detection, and cybersecurity.
FalkorDB delivers all of this while boasting multi-tenancy support, ultra-low latency, flexible horizontal scaling, vector search, and highly efficient memory usage. The FalkorDB platform comes with GraphRAG-SDK, CodeGraph, and its own in-browser graph visualization. It also uses the openCypher variant of the Cypher graph query language
The FalkorDB team and community have made it as easy as possible to interface with the client. You can get started with FalkorDB by exploring their client libraries for Python, Java, Rust, NodeJS, Go, and C#.
What’s Possible with FalkorDB + gdotv
Easy Installation & Setup
Effortlessly integrate gdotv with your FalkorDB graph database via 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 FalkorDB IDE is available to download for Windows, macOS and Linux. It has a one click installer to get you started instantly.
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 FalkorDB queries faster and more effectively.
Customizable Data Visualization
You can create custom visualization rules for your FalkorDB 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 nodes 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 FalkorDB data without using queries.
The Graph Data Explorer allows you to define path patterns to query from your data, using filters on both your nodes 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
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 FalkorDB, 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 FalkorDB Graph Data Directly within gdotv
Want to adjust something in your graph? Take a hands-on approach and manage your FalkorDB 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.
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 FalkorDB 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 Cypher makes your code easier to understand and visually parse, warning you of any error that would prevent it from executing against your FalkorDB instance.
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 FalkorDB: gdotv data 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, you can switch between your connections and queries seamlessly.
What’s Possible with FalkorDB + gdotv
Frequently Asked Questions (FAQs)
gdotv: The FalkorDB IDE
Turn your graph data into connected insights when you use gdotv to query, explore, and visualize your FalkorDB graph database.
Sign up for a free trial today and discover how gdotv amps up your productivity as the perfect FalkorDB IDE and graph visualization tool.
Or, prefer to talk with the gdotv team directly? Use the form below to get in touch.
FalkorDB