Bill Kennedy is a veteran when it comes to databases. Over the years, he has helped several businesses build data-intensive applications. Bill began his career working with SQL, moved on to No-SQL, and has recently started dabbling with graph databases. Bill liked Dgraph because it provided the performance he wanted and the interface, which is almost plug-and-play.
He recently published a blog (the first in a series) about his initial experiences with Dgraph. The blog is a friendly tutorial that introduces users on how to install Dgraph with Docker and how to use the Ratel interface to run and visualize queries on Dgraph.
Bill also does a short demo where he defines a node in Dgraph, stores edges, and runs queries on the data he uploaded. Amusingly he chose his Twitter followers to be the data-points to run queries on.
Getting Dgraph up and running is straightforward, and there’s a lot you can achieve with Dgraph and GraphQL+-, the querying language based on GraphQL. Follow Bill’s blog at Ardan Labs to read about his experiments and try Dgraph for yourself.
Read the full post here.
The #1 graph database on GitHub is easier in the Cloud