
Build scalable
graph databases
and apps. Fast
Deploy to production-scale in minutes.
Trusted by enterprise companies
Simply define a schema and let Dgraph take care of the rest.
Instant GraphQL API out of the box.
Millisecond response times, across massive datasets, with many layers of separation.
Horizontal scale to support high throughput requirements.
Our mission is to help developers and organizations leverage the power of graph and GraphQL to build applications better, faster, and more easily.
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.
Dgraph is built like a search engine. Queries are broken into sub-queries, which runs concurrently to achieve low-latency and high throughput.
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.
Everything you need to unify your data, build your app, and scale your operations — out-of-the-box
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 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
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:
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.
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.