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                                              Repository files navigation

                                                * 
                                                * README
                                                * Code of conduct
                                                * Contributing
                                                * Apache-2.0 license
                                                * Security
                                                More items

                                              Dgraph is a horizontally scalable and distributed GraphQL database with a graph backend. It provides ACID transactions, consistent replication, and linearizable reads. It's built from the ground up to perform a rich set of queries. Being a native GraphQL database, it tightly controls how the data is arranged on disk to optimize for query performance and throughput, reducing disk seeks and network calls in a cluster.

                                              Dgraph's goal is to provide Google production-level scale and throughput, with low enough latency to serve real-time user queries over terabytes of structured data. Dgraph supports GraphQL query syntax, and responds in JSON and Protocol Buffers over GRPC and HTTP. Dgraph is written using the Go Programming Language.

                                                Status

                                              Dgraph is at version v25 and is production-ready. Apart from the vast open source community, it is being used in production at multiple Fortune 500 companies.

                                                Supported Platforms

                                              Dgraph officially supports the Linux/amd64 and Linux/arm64 architectures. In order to take advantage of memory performance gains and other architecture-specific advancements in Linux, we dropped official support for Mac and Windows in 2021, see this blog post for more information. You can still build and use Dgraph on other platforms (for live or bulk loading for instance), but support for platforms other than Linux/amd64 and Linux/arm64 is not available.

                                              Running Dgraph in a Docker environment is the recommended testing and deployment method.

                                                Install with Docker

                                              If you're using Docker, you can use the official Dgraph image.

                                                docker pull dgraph/dgraph:latest

                                              For more information on a variety Docker deployment methods including Docker Compose and Kubernetes, see the docs.

                                                Run a Quick Standalone Cluster

                                                docker run -it -p 8080:8080 -p 9080:9080 -v ~/dgraph:/dgraph dgraph/standalone:latest

                                                Install from Source

                                              If you want to install from source, install Go 1.24+ or later and the following dependencies:

                                                Ubuntu

                                                sudo apt-get update
                                                sudo apt-get install build-essential

                                                Build and Install

                                              Then clone the Dgraph repository and use make install to install the Dgraph binary in the directory named by the GOBIN environment variable, which defaults to $GOPATH/bin or $HOME/go/bin if the GOPATH environment variable is not set.

                                                git clone https://github.com/dgraph-io/dgraph.git
                                                cd dgraph
                                                make setup
                                                make install

                                                Get Started

                                              To get started with Dgraph, follow:

                                                * Installation to queries in 4 quick steps.
                                                * Tutorial and presentation videos on YouTube channel.

                                                Is Dgraph the right choice for me?

                                                * Do you have more than 10 SQL tables connected via foreign keys?
                                                * Do you have sparse data, which doesn't elegantly fit into SQL tables?
                                                * Do you want a simple and flexible schema, which is readable and maintainable over time?
                                                * Do you care about speed and performance at scale?

                                              If the answers to the above are YES, then Dgraph would be a great fit for your application. Dgraph provides NoSQL like scalability while providing SQL like transactions and the ability to select, filter, and aggregate data points. It combines that with distributed joins, traversals, and graph operations, which makes it easy to build applications with it.

                                                Dgraph compared to other graph DBs

                                              Features                             Dgraph                         Neo4j                                                     Janus Graph                          
                                              Architecture                         Sharded and Distributed        Single server (+ replicas in enterprise)                  Layer on top of other distributed DBs
                                              Replication                          Consistent                     None in community edition (only available in enterprise)  Via underlying DB                    
                                              Data movement for shard rebalancing  Automatic                      Not applicable (all data lies on each server)             Via underlying DB                    
                                              Language                             GraphQL inspired               Cypher                                                    Gremlin                              
                                              Protocols                            Grpc / HTTP + JSON / RDF       Bolt + Cypher                                             Websocket / HTTP                     
                                              Transactions                         Distributed ACID transactions  Single server ACID transactions                           Not typically ACID                   
                                              Full-Text Search                     Native support                 Native support                                            Via External Indexing System         
                                              Regular Expressions                  Native support                 Native support                                            Via External Indexing System         
                                              Geo Search                           Native support                 External support only                                     Via External Indexing System         
                                              License                              Apache 2.0                     GPL v3                                                    Apache 2.0                           
                                              

                                                Users

                                                * Dgraph official documentation is present at docs.dgraph.io.
                                                * For general information and questions, visit Github discussions.
                                                * Please see releases tab to find the latest release and corresponding release notes.

                                                Developers

                                              Please see Contributing to Dgraph for guidelines on contributions.

                                                Client Libraries

                                              The Dgraph team maintains several officially supported client libraries. There are also libraries contributed by the community unofficial client libraries.

                                                Contact

                                                * Please use Github discussions for questions, feature requests and discussions.
                                                * Please use GitHub Issues for filing bugs or feature requests.

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                                        high-performance graph database for real-time use cases

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