Graph data science is an emerging field with a lot of promise, but it’s being hamstrung by the need for practitioners to have lots of data engineering and ETL skills. Now Neo4j is hoping to drive that ...

Neo4j Inc. is bringing its graph database technology to the business intelligence sphere with the addition of a connector that presents live graph datasets into popular BI platforms. The platforms ...

In addition, the latest release features new multi-database capabilities, Neo4j Fabric, and a schema-based security model.

Neo4j is positioning the product as a complement to, rather than a replacement for, conventional data science toolsets. “It’s a ‘better together’ story,” Frame said.

NASA has been using graph database technology from Neo4j to help with cataloguing and making sense of the mountain of engineering knowledge data that space agency has collected over the last 60 years.

Startups like TigerGraph, MongoDB, Cambridge Semantics, DataStax, and others compete with Neo4j in a graph database market expected to be worth $2.4 billion by 2023, in addition to incumbents like ...

Before continuing with Neo4j’s features, let’s introduce some terminology. Discussing a graph database using terms from the relational world is difficult, as the parallels are so tenuous.

April 7, 2021 — Data lineage platform MANTA today announced a new partnership with Neo4j, a leader in graph technology, to embed Neo4j’s graph database technology directly into MANTA’s platform for ...

After 18 years of development, Neo4j is a mature graph database platform that you can run on Windows, MacOS, and Linux, in Docker containers, in VMs, and in clusters.

Today, Neo4j comes in a couple of different flavors. It’s a database that can be either self-hosted or purchased as a cloud service offering which it dubs Aura. That’s for the data storage folks.