What Went Down at Connected Data London 2025 [Recap & Reflections]
Experience Connected Data London through the eyes of software developer Joe Stainke including his favourite talks and key takeaways from the conference.
Experience Connected Data London through the eyes of software developer Joe Stainke including his favourite talks and key takeaways from the conference.
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.
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.
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.