# gdotv Ltd > G.V() - Graph Database Client & Visualization Tool --- ## Pages - [Memgraph Visualization Tool](https://gdotv.com/memgraph-graph-visualization-tool/): Memgraph Visualization Tool Query, visualize, and explore your Memgraph data interactively using G. V – a graph database client and... - [Neo4j AuraDB Graph Visualization Tool](https://gdotv.com/neo4j-auradb-graph-visualization-tool/): Neo4j AuraDB Graph Visualization Tool Query, visualize and investigate connected data interactively, with G. V’s user friendly graph visualization toolkit,... - [Kuzu Graph Visualization Tool](https://gdotv.com/kuzu-graph-visualization-tool/): Kuzu Graph Visualization Tool Query, visualize and investigate connected data interactively, with G. V’s user friendly graph visualization toolkit, purpose-built... - [Google Cloud Spanner Graph Visualization Tool](https://gdotv.com/google-cloud-spanner-graph-visualization-tool/): Google Cloud Spanner Graph Visualization Tool Query, visualize and investigate connected data interactively, with G. V’s user friendly graph visualization... - [Apache TinkerPop™ Gremlin Server Graph Visualization Tool](https://gdotv.com/tinkerpop-gremlin-server-graph-visualization-tool/): Apache TinkerPop™ Gremlin Server Graph Visualization Tool Seamlessly query and display graph data with G. V’s user friendly graph visualization... - [Buy G.V()](https://gdotv.com/buy/): G. V Plans and Pricing To get a quote or raise a Purchase Order, please contact us at support@gdotv. com.... - [G.V() - Graph Database Client and Visualization Tool](https://gdotv.com/): G. V - Graph Database Client & Visualization Tool G. V is an all-in-one graph database client to write, debug,... --- ## Posts - [Discover & Visualize Your Graph Database Schema in Just 2 Steps](https://gdotv.com/blog/discover-visualize-graph-database-schema-2-steps/): Stop wondering about changes to your graph data model and start exploring your up-to-date database schema with only a couple... - [G.V() Is Now Compatible with Memgraph, the Light & Powerful Graph Database](https://gdotv.com/blog/gdotv-memgraph-integration/): Explore all the ways that G. V helps Memgraph developers more effectively query, visualize, explore, and edit their graph data... - [Fast, scalable graph querying and visualization with Kuzu and G.V()](https://gdotv.com/blog/fast-scalable-graph-querying-and-visualization-with-kuzu-and-g-v/): In this post, we’ll dive into Kuzu’s core query capabilities and demonstrate how it pairs nicely with G. V’s rich... - [How does G.V() compare with Neo4j Browser? Let's find out!](https://gdotv.com/blog/neo4j-graph-database-browser-vs-gdotv/): We're all about helping graph database adoption, and so is Neo4j. Find out in this article how our approach with... - [G.V() is now Available for Hypermode Graphs & Dgraph](https://gdotv.com/blog/g-v-is-now-available-for-dgraph-and-hypermode-graphs/): G. V is now compatible with Dgraph and Hypermode Graphs. With this partnership we bring a wealth of new tooling... - [G.V() is now Compatible with Kuzu, the Embedded Graph Database](https://gdotv.com/blog/gdotv-kuzu-release-announcement/): G. V is now compatible with Kuzu, bringing feature-rich graph visualization and query editing features to Kuzu users. Let's dive... - [G.V() 3.23.59 is out, adding support for Kuzu and Dgraph, and improved visualization](https://gdotv.com/blog/g-v-3-23-59-release-notes/): G. V 3. 23. 59 is out now, bringing support to Kuzu and Dgraph. We’ve also added improvements to our... - [G.V() 3.21.49: Spanner Graph support, graph visualization improvements, and more!](https://gdotv.com/blog/gdotv-3-21-49-release-notes/): G. V 3. 21. 49 is now generally available, with headline features such as Google Cloud Spanner Graph support, cool... - [Azure Cosmos DB Data Explorer vs. G.V() : A Side-by-Side Comparison](https://gdotv.com/blog/azure-cosmos-db-data-explorer-vs-gdotv/): Discover the differences between Azure Cosmos DB Data Explorer and G. V in this detailed breakdown of both graph database... - [G.V() Brings Interactive Graph Visualization To Google Cloud's Spanner Graph](https://gdotv.com/blog/google-cloud-spanner-graph-release/): Learn all about G. V’s new compatibility with Google Cloud Spanner Graph including plug-and-play setup, graph visualization, and no-code data... - [G.V() 3.14.38 Release Notes: Now with Support for Neo4j, Memgraph, Neptune Analytics, Query Editor Improvements, and more!](https://gdotv.com/blog/g-v-3-14-38-release-notes/): G. V 3. 14. 38 Release Notes: Now with Support for Neo4j, Memgraph, Neptune Analytics, Query Editor Improvements, and more!... - [G.V() on AWS Marketplace: Your Favorite Graph DB Client, Now in Your Browser](https://gdotv.com/blog/gdotv-aws-marketplace/): Learn about the release of G. V graph database client on AWS and how to get started with a free... - [Getting started on Aerospike Graph with G.V() - Gremlin IDE](https://gdotv.com/blog/aerospike-graph-gv/): Learn how G. V - Gremlin IDE and Aerospike Graph work together to bring your graph project to life and... - [Learning Graph Databases with G.V() and Practical Gremlin by Kelvin Lawrence](https://gdotv.com/blog/practial-gremlin-kelvin-lawrence/): Are you new to Apache TinkerPop or Graph Databases in general? Are you looking for directions on how to get... --- # # Detailed Content ## Pages - Published: 2025-04-24 - Modified: 2025-04-24 - URL: https://gdotv.com/memgraph-graph-visualization-tool/ Memgraph Visualization Tool Query, visualize, and explore your Memgraph data interactively using G. V – a graph database client and data visualization tool for connected data. Windows (. exe) Windows (. msi) macOS (Intel Chip) macOS (Apple Silicon) Linux . deb (Debian, Ubuntu) Linux . rpm (Fedora, etc) By downloading and using G. V, you agree to our license terms and privacy statement. Overview of Memgraph Memgraph is a high-performance, real-time graph database designed for developers, engineers, and data teams who need instant insights from connected data. Unlike traditional databases, Memgraph runs at C++ speed, supports high-throughput ingestion, and executes real-time data analytics without complex tuning. The light and powerful Memgraph platform includes the Memgraph Graph Database, MAGE graph algorithm library, and Memgraph Lab. It comes with a rich suite of pre-built deep path traversal algorithms and a library of traditional, dynamic, and ML algorithms tailored for advanced graph analysis, making Memgraph an excellent choice for analyzing data, relationships, and dependencies quickly and efficiently. G. V complements the speed and performance of Memgraph with robust developer tooling, interactive data exploration, and detailed graph visualization. Using G. V streamlines your day-to-day graph data tasks with a variety of integrated development environment (IDE) features, ensuring you get the most out of your time and data. Memgraph's hybrid architecture powers both Analytical and Transactional workloads Made for Memgraph Users G. V is engineered to make working with Memgraph simple and seamless. Graph database developers using Memgraph will find G. V to be the... --- - Published: 2025-04-18 - Modified: 2025-04-24 - URL: https://gdotv.com/neo4j-auradb-graph-visualization-tool/ Neo4j AuraDB Graph Visualization Tool Query, visualize and investigate connected data interactively, with G. V’s user friendly graph visualization toolkit, purpose-built for Neo4j AuraDB. Windows (. exe) Windows (. msi) macOS (Intel Chip) macOS (Apple Silicon) Linux . deb (Debian, Ubuntu) Linux . rpm (Fedora, etc) By downloading and using G. V, you agree to our license terms and privacy statement. Overview of Neo4j AuraDB AuraDB is a fully managed high-performance, purpose-built native graph database by Neo4j. What makes it different from traditional relational databases is that instead of accessing related data by using JOINs, AuraDB uses native pointers to handle relationships, improving performance. AuraDB ensures consistency and reliability with ACID transactions, promoting confidence in their customers’ data integrity, even in high-strain environments. G. V is a graph database client which can be used with AuraDB to provide you with full graph visualization features. You can write and execute Cypher queries, then view their results in a manner of different output formats. With its wide range of Integrated Development Environment (IDE) features, there are many uses in which G. V can streamline your everyday graph data work flow. Always On, Zero Adminsitration Designed for AuraDB G. V is a graph database client designed to enhance how you manage and interact with your AuraDB database. It’s easy to get up and running, and can instantly take your queries and visualize them as interactive graphs. Used by a range of industry leaders and professionals, it comes with all the features you need... --- - Published: 2025-04-18 - Modified: 2025-04-18 - URL: https://gdotv.com/kuzu-graph-visualization-tool/ Kuzu Graph Visualization Tool Query, visualize and investigate connected data interactively, with G. V’s user friendly graph visualization toolkit, purpose-built for Kuzu. Windows (. exe) Windows (. msi) macOS (Intel Chip) macOS (Apple Silicon) Linux . deb (Debian, Ubuntu) Linux . rpm (Fedora, etc) By downloading and using G. V, you agree to our license terms and privacy statement. Overview of Kuzu Kuzu is an embedded property graph database, built with a focus on speed and scalability. It specialises in being able to handle heavy analytical workloads on massive graphs. It includes all the features you’d expect in order to achieve this, such as disk-based columnar storage, embedded application integration, and lightning fast join algorithms. On top of all that, Kuzu is open source meaning you have unlimited access to all these features from the get-go. Optimized for Kuzu Designed by graph database experts, G. V is an IDE built to work alongside your Kuzu database and enhance your database user experience. With our comprehensive suite of data visualisation tools, you can enjoy displaying your data in a wide range of views and deriving all sorts of insights from it. Write queries, explore graph data and visualize your labelled property graph data model across all your Kuzu databases directly within G. V Plug and Play Solution Thanks to our “plug and play” database connectivity, it takes less than a minute to get G. V connected to your Kuzu database. All you need to enter is the path to the folder... --- - Published: 2025-02-28 - Modified: 2025-02-28 - URL: https://gdotv.com/google-cloud-spanner-graph-visualization-tool/ Google Cloud Spanner Graph Visualization Tool Query, visualize and investigate connected data interactively, with G. V’s user friendly graph visualization toolkit, purpose-built for Google Cloud Spanner Graph. Windows (. exe) Windows (. msi) macOS (Intel Chip) macOS (Apple Silicon) Linux . deb (Debian, Ubuntu) Linux . rpm (Fedora, etc) By downloading and using G. V, you agree to our license terms and privacy statement. Overview of Google Cloud Spanner Spanner delivers predictable single-digit millisecond latencies, near-unlimited scalability, and a five 9s availability SLA. It also provides strong consistency and ACID transactions. Their 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. Google Cloud Spanner's Multi-model capabilities span a wide variety of database use cases 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. G. V is a user-friendly labelled property graph visualization tool that is fully-compatible with Spanner Graph. 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)... --- - Published: 2024-10-02 - Modified: 2025-02-28 - URL: https://gdotv.com/tinkerpop-gremlin-server-graph-visualization-tool/ Apache TinkerPop™ Gremlin Server Graph Visualization Tool Seamlessly query and display graph data with G. V’s user friendly graph visualization toolkit, optimized for Apache TinkerPop's Gremlin Server. Windows (. exe) Windows (. msi) macOS (Intel Chip) macOS (Apple Silicon) Linux . deb (Debian, Ubuntu) Linux . rpm (Fedora, etc) By downloading and using G. V, you agree to our license terms and privacy statement. Overview Apache TinkerPop™ is an open-source graph computing framework for OLTP graph databases and OLAP graph analytic systems. Use of the Apache TinkerPop™ framework applies to many real life use cases, and developers leverage a graph data structure to model domain specific problems consisting of objects (vertices) relating to one another via relationships (edges). By modeling these problems using a graph structure, developers can perform efficient analytics operations, creating holistic views of interconnected data (e. g. Customer 360 use cases), fraud detection, supply chain management, real-time personalized recommendations, and many more. Gremlin Server is a component of the Apache TinkerPop™ ecosystem that allows to host and remotely graph data in a database. It uses Gremlin, a data flow language part, that enables expressing complex traversals (queries) of the data with an intuitive simple step by step query syntax. A simple sample graph showing vertices, edges and their properties, from the official Apache TinkerPop documentation The Gremlin query language is the primary way to interact with graph databases that are compatible with Apache TinkerPop™. The framework also includes the Gremlin Console, a lightweight command line interface client.... --- - Published: 2022-06-18 - Modified: 2025-05-20 - URL: https://gdotv.com/buy/ G. V Plans and Pricing To get a quote or raise a Purchase Order, please contact us at support@gdotv. com. Make sure to read our FAQ below. Show Prices in: USD GBP EURO G. V Lite$FREEThe free version of our graph database client. Available for Azure Cosmos DB Emulator, G. V Playground, and any graph database with below 500 vertices and 500 edges. No sign up required. Up to 1 Month Free G. V Pro Trial Upgrade In-memory graph support via G. V Playground Expose G. V Playground to localhost for development purposes AI-powered Text To Gremlin Query Generation Gremlin Query Debugging Free to use for all the graph databases below if they have less than 500 vertices and 500 edges. Perfect for getting started! Aerospike Graph Support Aliyun GDB Support Amazon Neptune & Neptune Analytics Support ArcadeDB Support Azure Cosmos DB Support DataStax Enterprise Graph Support Google Cloud Spanner Graph Support Gremlin Server Support JanusGraph Support LocalStack Amazon Neptune Support Memgraph Support Neo4j Support PuppyGraph SupportDownload NowDownload NowG. V Proper year$600The full-feature version of the G. V Graph Database Client. Pricing is per-seat, seats can be swapped between users at any time. Download G. V now for up to 1 month free trial! All of G. V Lite, plus:Aerospike Graph Support Aliyun GDB Support Amazon Neptune & Neptune Analytics Support ArcadeDB Support Azure Cosmos DB Support DataStax Enterprise Graph Support Google Cloud Spanner Graph Support Gremlin Server Support JanusGraph Support LocalStack Amazon Neptune Support Memgraph Support Neo4j Support PuppyGraph... --- - Published: 2019-03-04 - Modified: 2025-04-08 - URL: https://gdotv.com/ G. V - Graph Database Client & Visualization Tool G. V is an all-in-one graph database client to write, debug, test and analyze results for your property-graph database. It offers a rich UI with smart autocomplete, graph visualization, editing and connection management. Compatible with Amazon Neptune, Azure Cosmos DB, Dgraph, Neo4j, Google Cloud Spanner Graph, JanusGraph, Kuzu, Memgraph and many more. You can install G. V and start querying your database in under a minute! Get started G. V with one of the download links below. Windows (. exe) Windows (. msi) macOS (Intel Chip) macOS (Apple Silicon) Linux . deb (Debian, Ubuntu) Linux . rpm (Fedora, etc) Also Available On AWS Marketplace By downloading and using G. V, you agree to our license terms and privacy statement. The Most Powerful Graph Database Client Query your graph database using Cypher, Gremlin and many more graph query languages using G. V's smart query editor, with debugging and powerful code completion at your fingertips. G. V provides automatic suggestions based on your graph data schema, query language and graph database version, giving it exceptional accuracy. Write and run a query using G. V, then interact with the resulting graph Explore, visualize and edit your graph in real time Real Time Graph Explorer With G. V, load, visualize and draw your graph in true WYSIWYG ("What You See Is What You Get") fashion. Build, test, visualize and query your data model in no time. Update elements on your database interactively, without the need... --- --- ## Posts - Published: 2025-05-26 - Modified: 2025-05-26 - URL: https://gdotv.com/blog/discover-visualize-graph-database-schema-2-steps/ - Categories: General, Release Notes - Tags: Aerospike Graph, Amazon Neptune, Apache TinkerPop, AWS, Azure Cosmos DB Gremlin API, Cypher, Data Discovery, database schema, ER Diagram, graph data model, graph database, Gremlin, kuzu, Memgraph, Neo4j Stop wondering about changes to your graph data model and start exploring your up-to-date database schema with only a couple of clicks when you use G.V(). Understanding the schema of your graph database is essential to putting your next app into production. At the same time, it isn’t as easy as it should be. In the relational database world, the data you add to your database has to fit the given schema, so you don’t need to monitor your schema nearly as often while you input or update data. But with most graph databases, the data model is flexible, allowing you to build on and enrich the database schema at any time, especially as new data is added. And that versatility comes with a cost: when working as part of a dev team, it’s easy for your schema to get complicated – and messy – fast. So, keeping track of your graph database schema is a must. You need to know what properties, labels, and relationships your graph data structure includes, because it might include far more than you originally thought. Last year, the AWS team shared their steps to discover and visualize the schema for an Amazon Neptune graph database, and it’s... extremely involved. There are lots of complicated steps, and it’s a wonder if many developers would go through all that trouble. With G. V, however, your graph database model is tracked automatically and visualized instantly. The best part? You don’t even need to purchase G. V – it’s completely free. It’s also available for every graph database we support (and there’s a lot of ‘em). Here’s how you can access and visualize your... --- - Published: 2025-04-22 - Modified: 2025-04-24 - URL: https://gdotv.com/blog/gdotv-memgraph-integration/ - Categories: General, Release Notes Explore all the ways that G.V() helps Memgraph developers more effectively query, visualize, explore, and edit their graph data – with ease and simplicity. Big news today for Memgraph users: G. V graph database client is now compatible with Memgraph! If you’re new to this corner of the graph ecosystem, Memgraph is a high-performance, real-time graph database designed for developers, engineers, and data teams who need instant insights from connected data. Unlike traditional databases, Memgraph runs at C++ speed, supports high-throughput ingestion, and executes real-time data analytics without complex tuning. The light and powerful Memgraph platform includes the Memgraph Graph Database, MAGE graph algorithm library, and Memgraph Lab. It comes with a rich suite of pre-built deep path traversal algorithms and a library of traditional, dynamic, and ML algorithms tailored for advanced graph analysis, making Memgraph an excellent choice for analyzing data, relationships, and dependencies quickly and efficiently. (And in case you missed it, Memgraph 3. 0 is out now. ) G. V complements the speed and performance of Memgraph with robust developer tooling, interactive data exploration, and detailed graph visualization. In the article below, we’ll take a closer look at everything you can do with G. V and your Memgraph database, including key differences from Memgraph Lab. G. V Setup & Connection for Memgraph Users Connecting G. V to your Memgraph database is quick and straightforward. Connecting G. V to your Memgraph database in just a few seconds First, select “Memgraph” from the dropdown menu, then enter your hostname and any required credentials (depending on your setup). And that’s it. Easy, right? Querying Your Memgraph Database Using G. V Once you’ve got your... --- - Published: 2025-04-11 - Modified: 2025-04-11 - URL: https://gdotv.com/blog/fast-scalable-graph-querying-and-visualization-with-kuzu-and-g-v/ - Categories: General, Kuzu - Tags: Connected Data London, Cypher, data model, embedded graph database, graph visualization, kuzu In this post, we’ll dive into Kuzu’s core query capabilities and demonstrate how it pairs nicely with G.V()’s rich visualization tools. Introduction In a recent G. V release, we announced our integration with Kuzu — an open source embedded graph database. In this post, we’ll dive into Kuzu’s core query capabilities and demonstrate how it pairs nicely with G. V’s rich visualization tools. Kuzu is built for speed, and you can feel it when using it with G. V — every query finishes running faster than you can blink. We’ve sampled quite a few datasets and tried path queries of up to 30 hops, all running at milliseconds scale. According to the Kuzu team, this performance is the result of techniques such as novel join algorithms, columnar storage, and vectorized execution that the team developed. It also requires strict types on node and relationship properties, which allows it to take advantage of the graph’s structure to optimize for speed. Embedded Graph Database Kuzu is an embedded graph database—meaning it runs directly within your application, without requiring a separate database server. This architecture, combined with its high-performance query engine, makes it a great fit for analytical graph queries. Below are some of its characteristics worth learning more about. Usability Kuzu supports the Cypher query language and can run in-process, in memory, or even in-browser via WebAssembly. This enables a lightweight setup with minimal dependencies and no server management overhead. Interoperability It’s designed to integrate with a wide range of data formats and external systems. It supports Parquet, Arrow, CSV, and JSON, and provides connectors for external databases such as DuckDB and PostgreSQL,... --- - Published: 2025-04-04 - Modified: 2025-04-04 - URL: https://gdotv.com/blog/neo4j-graph-database-browser-vs-gdotv/ - Categories: General, Neo4j - Tags: aura db, Cypher, data model, database client, graph database, graph visualization, Neo4j, neo4j browser We're all about helping graph database adoption, and so is Neo4j. Find out in this article how our approach with G.V(), our graph database client, compares to Neo4j browser. Introduction When it comes to working with a graph database, the tools and client you use play a crucial role. While database performance is important, and you should always select the graph database that suits your application's needs, the way developers engage with that database is equally significant. The right database tooling can save time by improving your productivity and breaking down barriers to adoption. Today we’ll be comparing Neo4j Graph Database Browser (a. k. a. ‘Neo4j Browser’) and our very own graph database client, G. V, looking at their key features and differences in an attempt to provide an unbiased comparison of the two. An Overview of Neo4j Graph Database Browser Neo4j Browser is a query and visualization tool for the Cypher language focused on the developer experience. It offers multiple formats for viewing your query results and exploring your graph data, along with the ability to write, edit, and evaluate your results. Neo4j Browser’s welcome screen from which you can start importing and querying your data A single Neo4j Browser instance/deployment is always targetted at a single deployment of a Neo4j or AuraDB database. This means you'll need as many Neo4j Browser windows as you have databases to work with. The Cypher Query & Graph Visualization Tools in Neo4j Browser Shown below is Neo4j Browser’s query editor and results window: The Cypher query editor has pretty much everything you would expect of a quality tool, such as autocomplete, syntax highlighting, and a very informative error highlighting system. For... --- - Published: 2025-04-01 - Modified: 2025-04-01 - URL: https://gdotv.com/blog/g-v-is-now-available-for-dgraph-and-hypermode-graphs/ - Categories: Dgraph, General, Hypermode Graphs - Tags: data model, database client, dgraph, dgraph cloud, DQL, graph data, graph database, graph technology, graph visualization, hypermode, hypermode graphs G.V() is now compatible with Dgraph and Hypermode Graphs. With this partnership we bring a wealth of new tooling and features for Dgraph users to explore and visualize their graph data like never before. Introduction G. V is now compatible with Dgraph and Hypermode Graphs. With this partnership we bring a wealth of new tooling and features for Dgraph users to explore and visualize their graph data like never before. Dgraph is a graph database most commonly used for building knowledge graphs. It is the only open, complete graph database used at terabyte-scale to power real-time use cases. In this blog post, we'll be demonstrating the key features G. V offers for Dgraph and Hypermode Graph users. Instant Connection Setup G. V is quick and easy to install - connecting to your Dgraph endpoint is even faster. Check it out: Connecting G. V to Dgraph is quick and easy, instantly giving you access to graph visualization and querying facilities You can query your Dgraph database using DQL (Dgraph Query Language) and visualize results in a variety of formats, including our high performance interactive graph visualization. We're all about ease of use and immediate access to value using our software. Instead of spending hours if not days deploying a graph visualization solution, simply install G. V, connect it to your database, and you're good to go in less than 5 minutes of work! Centrally manage and query your Dgraph instances Are you working across multiple Dgraph instances? No problem! With G. V, you can connect concurrently to as many instances as you need, giving you a one stop shop to work across all your graph databases. Each database connection comes with its own settings, saved... --- - Published: 2025-03-26 - Modified: 2025-03-26 - URL: https://gdotv.com/blog/gdotv-kuzu-release-announcement/ - Categories: General, Kuzu - Tags: Cypher, data model, database client, embedded graph database, graph data, graph database, graph technology, graph visualization, Kùzu, kuzu G.V() is now compatible with Kuzu, bringing feature-rich graph visualization and query editing features to Kuzu users. Let's dive into the benefits of this integration. Introduction We're unveiling support for Kuzu, the embeddable graph database, on G. V. We've been working with the Kuzu team over the last few weeks to create this seamless integration for graph database users. Kuzu is free and open-source, and uses the Cypher query language. It uses columnar storage combined with novel join algorithms to provide extremely fast performance and high scalability. With this integration, Kuzu users can now benefit from a feature-rich graph visualization and Cypher writing suite of tools to simplify their day-to-day development and data analysis tasks. But that's not all we've got to offer, let's take a closer look: Get setup with G. V less than a minute Once you've got G. V installed with our one-click installer for Windows, macOS and Linux, getting connected to your Kuzu datastore is a breeze. Just provide the Kuzu storage folder path and you're good to go, as shown below: It literally takes less than a minute to get setup with Kuzu to start visualizing graph data and the underlying data model Kuzu supports the Cypher query language and benefits from our full suite of developer tools for Cypher, including syntax validation and schema-accurate autocomplete suggestions. Cypher query writing made easy with our query editor Queries are the primary way in which we interact with databases, and it's essential to equip yourself with the right tools. G. V's Kuzu Cypher query editor offers a powerful suite of features to accelerate and enhance your query writing experience, by offering essential... --- - Published: 2025-03-25 - Modified: 2025-04-08 - URL: https://gdotv.com/blog/g-v-3-23-59-release-notes/ - Categories: Dgraph, Dgraph Cloud, General, Kuzu, Release Notes - Tags: Cypher, data model, dgraph, DQL, graph data, graph database, graph database client, graph visualization, Kùzu, labeled property graph G.V() 3.23.59 is out now, bringing support to Kuzu and Dgraph. We’ve also added improvements to our graph visualization and data model viewer user experiences. G. V 3. 23. 59 is out now, bringing support to two new graph database technologies, Kuzu and Dgraph. We've also packed this release full of improvements to our graph visualization and data model viewer user experiences - this is an update you don't want to skip! As per usual we'll be walking you through what's new and improved below, so stick around to see what we've been up to! Bringing support to Kuzu, the embedded graph database When we found out about Kuzu, we got super excited about its potential. Unlike other graph databases out there, Kuzu is an embedded database, meaning it runs in-process with your application, eliminating the burden of deployment and management of a DBMS server. It's also engineered for optimal performance, particularly when performing analytics query workloads on large graphs. And here's the best part: Kuzu is fully free and open source with a permissive MIT license! We've been working on the integration directly with their team, and you can now connect your Kuzu database to our software in less than 30 seconds, allowing you to query your graph data with Kuzu Cypher, create graph visualizations and browse your data model effortlessly. See for yourself: Connecting to a Kuzu instance using G. V to run queries, visualize graph data and data schema takes mere seconds Also introducing support for Dgraph & Hypermode Graphs (powered by Dgraph) Another exciting addition to our roster of compatible graph database is the suite of Dgraph databases by Hypermode. Dgraph... --- - Published: 2025-01-27 - Modified: 2025-03-11 - URL: https://gdotv.com/blog/google-cloud-spanner-graph-release/ - Categories: General, Spanner Graph - Tags: database client, Google Cloud, GoogleSQL, GQL, graph database, Graph Query Language, graph technology, graph visualization, Spanner Graph, Spanner Studio Learn all about G.V()’s new compatibility with Google Cloud Spanner Graph including plug-and-play setup, graph visualization, and no-code data exploration. Introduction We’re excited to announce that G. V, our graph database client, is now compatible with Google Cloud Spanner Graph, which was just recently released in general availability. Data engineers already know Spanner as the always-on database with virtually unlimited scale, provided by Google Cloud. Spanner allows you to build intelligent apps with a single database that brings together relational, graph, key-value, and search all in one place. If you’re already a Spanner user, it’s that much easier to try out graph technology for the first time by leveraging your existing data. This new integration gives you the power and performance of the Spanner Graph cloud database, while providing features and capabilities beyond Spanner Studio. Let’s take a closer look at what G. V offers Spanner Graph developers and users. Plug-and-Play with G. V: From Setup to First Query in --- ---