/dgraph

Fast, Distributed Graph DB

Primary LanguageAssemblyOtherNOASSERTION

Fast, Transactional, Distributed Graph Database.

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Dgraph is an open source, horizontally scalable and distributed graph database, providing ACID transactions, consistent replication and linearizable reads. It's built from ground up to perform for a rich set of queries. Being a native graph 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 be serving real time user queries, over terabytes of structured data. Dgraph supports GraphQL-like query syntax, and responds in JSON and Protocol Buffers over GRPC and HTTP.

Status

Dgraph is at version 0.9.x. We're aiming to convert this into v1.0 release before Christmas. We recommend using it in your projects and in production environment.

Quick Install

The quickest way to install Dgraph is to run this command on Linux or Mac.

curl https://get.dgraph.io -sSf | bash

Get Started

To get started with Dgraph, follow:

Is Dgraph the right choice for me?

  • Do you have more than 10 SQL tables, connected to each other via foreign ids?
  • Do you have sparse data, which doesn't correctly 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 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 Distributed Single server Layer on top of other distributed DBs
Replication Consistent None (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 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 AGPL v3 for server + Apache 2.0 for client GPL v3 Apache 2.0

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