We’re excited to share that Neo4j has joined the Connect with Confluent technology partner program. This program helps businesses accelerate the development of real-time applications through fully managed integrations with Confluent Cloud. Thanks to the partner program, our customers now have the best experience for working with data streams directly…
Welcome to This Week in Neo4j, your weekly fix for news from the world of graph databases! Tackling climate change is one of the most pressing problems these days. GraphStuff.FM, our monthly podcast, has two guests this month to talk about it and how technology can help. Moreover, we have…
Neo4j has achieved full compatibility with AWS PrivateLink, earning AWS PrivateLink Service Ready status. This means AWS has validated our technical work and verified that customers are successfully using the Neo4j Aura–PrivateLink integration. AWS PrivateLink allows organizations to securely access AWS services within a virtual private cloud (VPC), giving them…
Got your eye on NODES 2024? The deadline to submit your talk is fast approaching. Developers and data scientists from all over the world are getting ready to share their latest graph-powered projects at this year’s free online conference. If you’d like to join them, here are a few tips…
The GQL ISO standard has just landed (April 11, 2024), marking a historical moment for graph database languages and a huge milestone in what has already been a relatively long history of language development. In a previous post, I briefly sketched how the Neo4j proprietary implementation of Cypher is becoming…
Welcome to This Week in Neo4j, your weekly fix for news from the world of graph databases! In 27 episodes, we discussed knowledge graphs, semantics and more in our livestream series GoingMeta. This week, we take a look back before launching Season Two in July. Also, there is a new…
The generative AI market has grown by a staggering 3,600% year over year according to O’Reilly, fueling renewed demand for knowledge graphs. The technology of choice for highly connected, heterogeneous data, knowledge graphs work well for grounding large language models (LLMs). In fact, independent research from data.world and Microsoft have…
We’re thrilled to announce a new integration with Snowflake that brings the full spectrum of Neo4j’s industry-leading Graph Data Science (GDS) capabilities into the Snowflake AI Data Cloud for advanced AI insights and predictive analytics. Snowflake end users seeking graph-enabled insights will now find it simple and straightforward to use…
Welcome to This Week in Neo4j, your weekly fix for news from the world of graph databases! This month’s podcast features a known face for those who follow our livestreams: Leann Chen. We also take an in-depth look at integration testing, create a Knowledge Graph in only a few lines…
In a hyper-connected, data-rich world, enterprises need to understand complex relationships within large, diverse datasets. Customer interactions, for example, involve tracking behavior, preferences, and patterns across online platforms, physical stores, and social media. Organizations must understand all these relationships to optimize strategies and improve the customer experience. Today marks the…