Build scalable
graph databases
and apps. Fast
Deploy to production-scale in minutes.
Build scalable
Trusted by enterprise companies
Dgraph is the only native GraphQL
database with a graph backend.
Simply define a schema and let Dgraph take care of the rest.
Easy
Instant GraphQL API out of the box.
Fast
Millisecond response times, across massive datasets, with many layers of separation.
Limitless Scale
Horizontal scale to support high throughput requirements.
Why Dgraph?
Our mission is to help developers and organizations leverage the power of graph and GraphQL to build applications better, faster, and more easily.
EASE OF USE
Simply create one GraphQL schema, deploy it, and have instant database and API access. No impedance mismatch — no GraphQL resolvers needed.
Choose industry-standard GraphQL for speed and simplicity, and extend with the more powerful DQL language when you need to.
HIGH PERFORMANCE
Dgraph is built like a search engine. Queries are broken into sub-queries, which runs concurrently to achieve low-latency and high throughput.
LIMITLESS SCALE
Automatically shards graph and rebalances across as many nodes as you need.
Unlike most databases, Dgraph was built for distributed queries from day one, and optimizes queries via unique, predicate-based indexing.
Harness the Power of Connected Data
Everything you need to unify your data, build your app, and scale your operations — out-of-the-box
Unify your data
Build applications
Deploy and scale relationship-based data services
Unify your data
Dgraph naturally combines multiple, big data sets, supporting native graph data linkages and massive scale.
Once ingested, users throughout an enterprise are empowered for self-service.
They can use GraphQL – a uniquely flexible and easy-to-learn API approach – to get whatever data they need immediately, without waiting days or weeks for API changes.
Companies using Dgraph to unify data
Build applications
Build your entire application on Dgraph, using it as both a database and app server.
Native GraphQL support is easier to build on and faster to scale as it does not require data mapping back and forth from GraphQL to the database schema to improve performance, scalability, and maintainability.
Companies using Dgraph to build applications
Deploy and scale relationship-based data services
Dgraph is used to build recommendation systems, supply chain, logistics, social networks, knowledge graphs, financial data, and complex relational data sets.
Companies using Dgraph to deploy and scale services:
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Members
Instant Application Backend From a Single Schema
A single GraphQL schema creates an API for your applications to use and the corresponding graph database, instantly. Minimal learning curve and immediate functionality.
GraphQL Support
Supercharge your development with GraphQL, out-of-the-box. Get going with GraphQL in a matter of minutes without writing a line of code.
Do more with DQL
Don’t worry about learning complex graph database query languages, just use DQL. Derived as a fork of GraphQL, DQL brings all the power of a graph database query language with the simplicity of GraphQL.
Graph Database
We chose to build our platform on top of a graph database because of the flexibility and speed. A single database with the flexibility of traditional NoSQL and the ability to create relationships within the data, like SQL.
Easy Scalability
Scaling your application is easy and instant even with terabytes of data. Dgraph scales with you while guaranteeing high-throughput and low-latency by default.
Unify your Data
Whether you migrate your data to Dgraph or stream data in, unify your data to let your organization and its developers experience a single unified data graph. A single place for all of your organizations data, allowing you to do more with less work.
Unite Queries and Business Logic
With Dgraph Lambda, seamlessly integrate business logic into your queries. In a few easy steps write your custom logic in JavaScript, integrate it with your GraphQL schema, and execute it using the GraphQL API.