Build scalable applications & services. Fast.
Lightning-fast distributed graph database with native GraphQL
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Why developers love using Dgraph
Dgraph is popular with developers & data teams due to its built-in support for GraphQL, distributed architecture for scale and performance, community support and much more.
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Graph database with native GraphQL and graph query language
Built from Day 1 to be distributed to handle larger data sets
Flexible schema
Define your application GraphQL schema that seamlessly defines the database schema.
Effortlessly evolve your GraphQL schema to enable rapid application development and quicker time-to-market, making it a breeze to add new functionality.
With Dgraph, you can perform graph-oriented queries and mutations on GraphQL or graph-structured data. Augment your GraphQL data with graph-structured data for added functionality, allowing for a more comprehensive and robust application experience.
Distributed graph database
Designed to handle very large volumes of data across multiple RAFT groups, enabling seamless scale-out. The Dgraph database is built on top of a high-performance key-value store (Badger) and utilizes MVCC and snapshot isolation transaction management. This results in low-latency query performance even at scale.
Unique indexing and query mechanism for scale
At Dgraph, we've designed our database to distribute data into shards, which means you only query the relevant shards hosting the candidate data.
This enables near-linear scale-out characteristics, with no single-master architecture. As a result, query performance can scale out along with your cluster and data, making it easy to handle even the largest datasets with ease.
“Dgraph is a no-brainer. I can ingest any data and any structure, and I don’t have to worry about it. If I were trying to do this in a SQL table, we would end up with horrible joins and get tied up in knots. Dgraph is a godsend.”
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Dgraph transforms your GraphQL experience
Build a GraphQL API in just two easy steps.
Dgraph natively executes GraphQL. GraphQL queries are directly planned and optimized as graph queries, making things faster and easier for developers at coding time and faster at execution time.
Lightning fast
- Distributed GraphQL execution
- Concurrent Queries
- Index-based query optimization
Auto generation of queries and mutations
- User adds schema, Dgraph DB generates queries and mutations
- Instantly start running queries and mutations after adding schema
Native GraphQL
- In-database query execution engine for GraphQL
- Eliminates GraphQL/SQL translation
Single application and database schema
- No impedance mis-match
- Concurrent Queries
- No schema transformation
“Writing queries against graphs is far more natural than writing SQL queries. You don’t need to have a deep understanding of data schema or write across hundreds of joins.”
Ready to build your graph application?
We walk you through an end-to-end tour along with tutorials so you are up and running minutes.
Three different ways to get started today
Dgraph Open Source
Deploy on your own infrastructure and bring the power of a graph database and GraphQL to your project.
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Dgraph Cloud
A fully managed service that gives you instant access to the entire Dgraph platform.
With shared and dedicated tiers, Dgraph cloud is the quickest and most cost-effective way to use Dgraph.
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Dgraph Enterprise Self-Managed
For high performance production apps that require self-managed infrastructure and/or custom configuration.
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Resources
The ultimate guide to graph databases
Unite your data and get a highly scalable, performant, native GraphQL graph database in the cloud that delivers blazingly fast query speeds.
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The ultimate guide to graphQL
Get instant GraphQL APIs with a flexible schema so you can turn your idea into an app
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How FactSet Uses Dgraph and DQL to Power One of The Largest Financial Databases in the World
“Our experience with Dgraph has been great, and the switch to DQL really opens up a lot of new possibilities to help us build products more quickly and efficiently.”
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