graph databases

G.V() 3.40.94 Release Notes: Ultipa Graph support, Embedded Cypher Documentation

G.V() 3.40.94 Release Notes: Ultipa Graph support, Embedded Cypher Documentation

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Today marks the release of G.V() 3.40.94. Some significant additions this time around – we now support ISO GQL (Graph Query Language), starting with Ultipa Graph Database!
We’ve also extended our embedded documentation feature, previously only available for the Gremlin query language, to work with Cypher and its many database-specific variants.
And finally, we’ve introduced further user experience improvements, most notably to the settings menu.

G.V() now supports Ultipa Graph Database

G.V() now supports Ultipa Graph Database

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We’re excited to welcome yet another new graph database system to the G.V() suite! As of our latest release, we are now fully compatible with Ultipa Graph, Ultipa provides a number of tools for graph database management systems. The newest version of Ultipa Graph, known as Ultipa Powerhouse, is based upon a hybrid structure across multiple server types, with the goal of maintaining both data locality and computational efficiency. Ultipa offers full support for the Graph Query Language or GQL, the first ISO/IEC standardized language for graph databases.

Getting started with Memgraph and G.V()!

Getting started with Memgraph and G.V()!

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Memgraph+G.V() is a classic combination that turns your computer into a formidable tool for analysis and visualization, which is exactly what we’d like to show you today. We’ll first explore how to get started with Memgraph itself and use some of Memgraph’s own built-in visualization options, then we’ll show how G.V() can unlock even more of Memgraph’s potential.

G.V() is now compatible with FalkorDB

G.V() is now compatible with FalkorDB

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Descended from RedisGraph technology, FalkorDB is a versatile graph database that excels in multiple use cases. Its powerful GenAI-focused approach is ideal for applications such as GraphRAG, agentic memory, chatbots, fraud detection and cyber security – all of this while boasting multi-tenancy support, ultra-low latency, flexible horizontal scaling, vector search and highly efficient memory usage.

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