Featured Post
Boosting AuraDB Read Performance With Secondaries
Oct 21 3 mins read
Read-heavy applications require exceptional database performance, which is why we’re excited to announce the general availability of Secondaries on AuraDB Virtual Dedicated Cloud. Secondaries are read-only copies of your AuraDB database, and they significantly increase maximum read-query... read more
Can’t Stop, Won’t Stop: Graph Data Science 2.1 Is Better Than Ever
Jun 23, 2022 5 mins read
We don’t take breaks at Neo4j – we’re following up GraphConnect with yet another awesome release of the Graph Data Science (GDS) library. Our engineers are constantly raising the bar, and some of the highlights in this release: 🆕 New algorithms: K-means clustering and Leiden... read more
Announcing Neo4j Bloom 2.3: Supercharged With Graph Data Science
Jun 21, 2022 2 mins read
All great things come in pairs: Peanut butter and jelly (or jam, for our international readers) Fish and chips Gin and tonic Simon and Garfunkel And the list goes on... Well, for some time now, Neo4j Bloom has been a great companion to Neo4j Graph Data Science. For example,... read more
Pride at Neo4j: Thirty Years of Hope
Jun 20, 2022 3 mins read
I was 11 years old when Harvey Milk gave his famous “Hope” speech on the steps of San Francisco City Hall on Gay Pride Day 1978. I became aware of Milk five months later when he was assassinated – along with San Francisco mayor George Moscone – by Dan White. That was probably the... read more
This Week in Neo4j: AuraDS on Vertex AI, Going Meta Series, Cypher Cheatsheet, GraphConnect Recordings, Centrality Algorithms, and More
Jun 18, 2022 3 mins read
Back in January, we previewed Neo4j AuraDS and Google Cloud Vertex AI’s partnership and demonstrated how you can build and deploy graph-based machine learning models. AuraDS is graph data science as a service now running as a managed service on top of GCP. With the Neo4j Graph... read more
The New Normal: What I Learned (or Un-Learned) at GraphConnect 2022
Jun 17, 2022 10 mins read
A tremendous amount of database science is devoted to the fine art of “normalization” – making your data easier for their databases to digest. Time to ask yourself: Who does normalization actually serve? Graph computing solves problems. It solves them by modeling those problems using... read more
7 Reasons You Should Go to GraphSummit
Jun 16, 2022 3 mins read
We would like to officially invite you to our GraphSummit Series! It kicks off in Paris this summer, with stops in London, Sydney, and lots of places in between, before wrapping up in Copenhagen this fall. Needless to say we’re really happy to be back on the road across Europe and... read more
