Dgraph Database Overview - Dgraph documentation

Dgraph is a horizontally scalable and distributed GraphQL database with a graph backend. Dgraph is built for the heavy transactional workloads required to power modern apps and websites, but it isn’t limited to only these types of applications. Whether you are looking to power the backend of your app, create elastic search for your website, or build a new database purely for data analysis, Dgraph is up to the task. In fact, it is in production today in the following real-world scenarios:

  • Data unification
  • Customer 360
  • Social media sites
  • Content Management Systems
  • Ecommerce stores
  • Entity resolution
  • HR management applications
  • Master data management
  • Product recommendation engines
  • Real-time chat applications

To learn more about how organizations are using Dgraph, see Dgraph Case Studies.

Dgraph database and Dgraph cloud services

You can run Dgraph database in a variety of ways:

  • Self-managed: You can use Dgraph on-premises, hosted on your own physical infrastructure. You can also run Dgraph in your AWS, GCP, or Azure cloud infrastructure.
  • Fully-managed (hosted): You can use Dgraph as a fully-managed cloud service. Slash GraphQL gives you the power of Dgraph in a hosted service running on a shared cluster. Dgraph Cloud extends Slash GraphQL to meet the needs of enterprises, and provides dedicated clusters. To learn more, see Fully-Managed Dgraph.

Get started with self-managed Dgraph

To run Dgraph on your own server, see instructions for single-node setup or instructions for cluster setup.

Tip Dgraph Labs recommends running Dgraph on Linux for production use.

Get started with fully-managed Dgraph

You can get started using Slash GraphQL today with a free trial. To use Dgraph Cloud, visit our Pricing Page or Pricing Calculator to get an estimate, or contact us.

Dgraph and GraphQL

Because Dgraph is a native GraphQL database, queries across sparse data sets run efficiently. As a native GraphQL database, Dgraph doesn’t have a relational database running in the background, so your data has the ability to grow and change with your app, without the need to add new tables. And when it comes time to deploy a new schema, you can do that in seconds, not hours.

To learn more about Dgraph’s GraphQL implementation, see GraphQL Overview. If you are a SQL user, see: Dgraph for SQL Users.

Fully-Managed Dgraph

Slash GraphQL is a fully-managed GraphQL database service that lets you focus on building apps, not managing infrastructure. Slash is built from the ground up to support GraphQL, and uses a graph database structure down to its lowest layers. So it integrates seamlessly with your existing ecosystem of GraphQL tools.

Slash GraphQL gives you the power of Dgraph database in a hosted environment, providing the flexibility and performance of a horizontally-scalable and distributed GraphQL database with a graph backend, so you don’t need to configure and manage VMs, servers, firewalls, and HTTP endpoints to power your modern apps and websites. Slash GraphQL runs on a shared cluster so we can offer it at a low price.

To learn more about Slash GraphQL, see Slash GraphQL Overview.

Dgraph Cloud extends the capabilities of Slash GraphQL to meet the heavy workloads and other needs of enterprise customers. With Dgraph Cloud, you get dedicated cluster instances, high availability, and the option to run Dgraph in your own virtual private cloud (VPC) or bring your own Kubernetes (BYOK) environment.

Glossary of Dgraph and GraphQL terms

Term Definition Learn More Badger A fast, open-source key-value database written in pure Go that provides the disk layer for Dgraph database. Badger documentation data node A basic unit of data representing an entity in a graph database. Nodes are connected by edges and have predicates (or fields) that contain node data. Dgraph Alpha A server node that serves data to clients of Dgraph database, and also provides administrator endpoints. Dgraph Alpha documentation Dgraph database A horizontally-scalable and distributed GraphQL database with a graph backend. Dgraph Query Language (DQL) A query language that extends and modifies GraphQL to support deep queries for modern apps. Formerly known as GraphQL+-. DQL documentation Dgraph Zero A server node that controls a Dgraph database cluster. Dgraph Zero documentation edge A relationship between two data nodes in a graph database. field See predicate. GraphQL An open-source query language for APIs and a runtime for fulfilling those queries. Dgraph GraphQL documentation object See data node. server node A server that makes up part of a server cluster. See Dgraph Alpha and Dgraph Zero. Dgraph Cluster Setup documentation predicate A property of a data node in a graph database; also a discrete piece of information available to request in a graph database. Slash GraphQL A fully-managed GraphQL database service powered by Dgraph database. Slash GraphQL documentation

This is a companion discussion topic for the original entry at https://dgraph.io/docs/dgraph-overview/
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The glossary is hard to read in this format here on Discuss. On the linked docs page, it is easier to read with a table.

It is just a mirroring of the docs. We prefer that the user use the docs itself. Mirroring it here is good for the search engine of the discuss.