Graph databases are on an upswing in enterprise IT right now. What are the prerequisites for selection a graph query language in the first place?

Finding the $100 Million Graph Query: A Four-Stage Maturity Model. ByDan Woods, Former Contributor. May 23, 2018, 04:03pm EDT May 24, 2018, 05:14pm EDT. Share. Save. This article is more than 7 ...

The Graph does something different: it lets blockchains be, but offers a way to index and query data stored on them efficiently using GraphQL. Querying blockchains ...

Graph database query languages are growing, ... while others support so-called property graphs. The RDF model is a W3C standard first designed to encode semantic information.

A sui generis, multi-model open source database, designed from the ground up to be distributed. ArangoDB keeps up with the times and uses graph, and machine learning, as the entry points for its ...

The Cypher query is a declarative language that is used to create and query graph databases. It includes commands to create nodes, edges, and relationships between them, as well as commands to ...

Future proof and agent-ready – Built on an open, ISO-backed standard, GQL lays the foundation not just for current insights ...

The relational model is just one way to choose how to structure the data, and graphs are an alternative.” SQL will continue to be the best option for querying structured data in tables.

The flexibility of the graph data model is a key factor driving the recent surge in graph database popularity. The same requirements for availability and massive scale that drove the development ...

PuppyGraph is the first and only real time, zero-ETL graph query engine in the market, empowering data teams to query existing relational data stores as a unified graph model in under 10 minutes ...