The data management landscape is undergoing a serious transformation. While traditional relational databases have been the “go-to” data storage tool for some time, their limitations in ...

Yet, that relational technology model has reached its ... The fundamental understanding of data relationships, reduced query complexity and scale produce a causal effect on the velocity of semantic ...

With all of this interest, how do you determine whether a graph database is right for your application? As you might have noticed, there isn’t any new information in the graph data model that we ...

One of the early social networks, Friendster, struggled to manage the growing complexity ... database can accomplish and also search through networks defined in the data, too. Some simpler graph ...

Neo4j, which offers a graph ... a really deep data science community,” he said. In the past, most business analysis was built on relational databases. Yet, inter-connected complexity is creeping ...

The Memgraph database ingests that data and transforms it into a graph model that can feed advanced ... owing to the complexity of managing high-speed data flows. That’s no longer the case.

Banks are exploring graph ... between data points, for a number of use cases, including fraud detection, anti-money laundering, and regulatory compliance. Knowledge graphs offer an alternative to ...

The new database, dubbed Aerospike Graph, adds a property graph data model to the existing capabilities of its NoSQL database and Apache TinkerPop graph compute engine, the company said.