Take a look under the hood, and look for the following characteristics when choosing a graph system. • A graph database built natively to store data as graph elements.

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.

What Is a Graph Database? Your email has been sent Explore the concept of graph databases, their use cases, benefits, drawbacks, and popular tools. A graph database is a dynamic database ...

Graph database query languages are growing, along with graph databases. They let developers ask complex questions and find relationships.

The Bulgarian graph database startup Graphwise today announced a major upgrade to its flagship GraphDB tool, adding new features aimed at boosting enterprise knowledge management and creating a ...

Aerospike this week rolled out new graph database offering that leverages open source components, including the TinkerPop graph engine and the Gremlin graph query language. The NoSQL company foresees ...

Amundsen became a place to graph those usage stats. A "Data Builder" program crawls those production data stores every twelve hours to gather the metadata that is placed in the Neo4j database.

Graph database company Neo4j wants to move beyond providing only its graph database, and is working on what it calls a 'graph platform' to help companies make the most of their data.

Neo4j is both the original graph database and the continued leader in the graph database market. Designed to store entities and relationships, and optimized to perform graph operations such as ...

The 10 hottest database startups of 2020 include companies with SQL, NoSQL, relational, cloud, graph and time series database software.

Graph database startup TigerGraph Inc. today announced a major update to its flagship cloud platform with the Savanna release, bringing with it six times faster network deployments and dozens of ...