Featured Post
Neo4j in 2024: Delivering on Our Vision of Cloud-First Graph Technology
Jan 15 9 mins read
When I joined Neo4j as Chief Product Officer in early 2023, we set an ambitious goal: build the industry's most comprehensive cloud-native graph database and analytics offering. In 2024, we made significant progress in transforming that vision into reality, helping organizations uncover... read more
Avoiding Database JOINs: 5-Minute Interview with Michael Wytock
Jun 14, 2019 4 mins read
"There are huge performance concerns running certain queries on data that is more connected," said Michael Wytock, CEO of Coshx. Technology consulting firm Coshx uses Neo4j whenever it sees a lot of database JOINs in a client’s current architecture, knowing performance will be greatly... read more
From Collections to Connections: Where Hadoop Adoption Goes from Here
Jun 13, 2019 5 mins read
“These guys are killing it!” Back in 2013, I was contacted by my friend Randy who’s a long-time Bay Area tech recruiter. He was looking for sales and marketing referrals for a company called MapR. He really couldn’t have been more enthusiastic. “I haven’t seen one like this... read more
The Present and Future of Artificial Intelligence and Machine Learning
Jun 12, 2019 22 mins read
Editor’s Note: This is a transcription of a presentation given by Hilary Mason at GraphConnect New York in October 2018. Presentation Summary The metaphors we use to describe the world directly correspond to the way in which we build technology, particularly in the areas of artificial... read more
Google Kubernetes Engine and Neo4j: Power Your Apps with Graphs
Jun 10, 2019 4 mins read
Google Kubernetes Engine (GKE) is a hosted, managed version of Kubernetes. As such, it is a great environment for developers to start experimenting with the many use cases for Neo4j. Neo4j is available through the Google Cloud Platform Marketplace, so developers familiar with Kubernetes can have... read more
This Week in Neo4j – Secure GraphQL APIs in minutes with Cloud Run, Releases of Bloom, Streams, GraphQL, NODES 2019
Jun 08, 2019 5 mins read
This week Bea Hernandez shows us how to explore football data and Volodymyr Miz explains how to combine Cassandra and Neo4j to analyse the Wikipedia Graph Dataset. We also learn how to use Google Cloud Run as a serverless backend for a GRANDstack application, and there are releases of... read more
#GraphCast: The Jim Webber Show
Jun 07, 2019 < 1 min read
Welcome to this week's #GraphCast – our series featuring what you might have missed in Neo4j media from the past fortnight. Last time, I shared Karin Wolok's great summary video of how graph database technology is being used all across the globe. It's the best... read more
