TigerGraph today rolled out a new deal that allows customers to store up to 50 GB of data in a distributed graph database running on-premise, matching what it already offered in the cloud. The company ...

Zero copy data sharing and bi-directional data exchange will connect data in real-time between Oracle Autonomous Database with its fully automated threat detection and remediation capabilities ...

Workflow Data Fabric will also include ServiceNow Knowledge Graph to connect and harmonize enterprise data at scale. Knowledge Graph transforms raw data into contextual insights. The new Workflow Data ...

We take all of the Git/GitHub workflows and make them applicable to data. So you can clone the production database, branch, merge, lineage, versioning, and time travel — all the Git-like ...

In the age when data is everything to a business, managers and analysts alike are looking to emerging forms of databases to paint a clear picture of how data is delivering to their businesses. The ...

As data complexity continues to grow and the demand for real-time insights increases, the move away from traditional relational databases and towards the adoption of graph databases will become vital.

It’s been two years since Neo4j launched the first release of Graph Data Science (GDS), the company’s first foray into graph data science. GDS was basically a plugin for Neo4j’s property graph ...

You can think of a graph database as a set of interconnected circles (nodes) and each node represents a person, a product, a place or ‘thing’ that we want to build into our data universe.

At the recent Cloud Next conference in Tokyo, Google announced Spanner Graph, a managed feature that integrates graph, relational, search, and AI capabilities within Spanner. This new database ...