Join those who left JOINs behind
The only open source, AI-ready graph database
Loved by data engineers & developers
The Modern Graph Database
A fault-tolerant, distributed graph database, that gives developers the tools to rapidly build applications that scale
Easy to Use
Query the way you want. Use GraphQL for speed and simplicity or express more complex patterns with DQL.
Learn MoreHighly Performant
Massively parallelized query engine means low latency and high throughput.
Learn MoreLimitless Scalability
Horizontally scale both reads and writes across as many nodes as you need. Shards automatically rebalance as data density shifts.
Learn MoreGraphs are the most natural way to access the data that matters.
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The Dgraph Way
Learn how to build with Dgraph
To immediately see what Dgraph is about, check out the GraphQL and/or DQL tour.
Modern Applications are Built on
Graphs
Graphs are a data model designed to answer how this is related to that in real time.
Firebase Alternative
Build an entire application with your app server and database with one seamless API.
Eliminate the need for data mapping back and forth from GraphQL to the database schema. Get better performance, greater scalability, and simpler maintenance.
Recommendation Engine
Easily build two-tower, collaborative filtering-based, or KNN recommendation systems.
Store computed similarity as additional knowledge in the graph for an efficient real-time recommendation engine.
Master Data Management
Identify and match real-world entities in unstructured data sources. Dgraph’s ability to store, link, and traverse nodes enables data standardization, duplicate detection, and data merging.
Clean data is at the heart of any application.
Knowledge Graphs
Represent knowledge as a network of entities and their relationships. By materializing the relationships between entities, it creates critical context for AI.
When building with LLMs, a knowledge graph increases performance, response accuracy, and improves explainability.
Customer 360
Understand how your buyers go from intent to purchase.
By modeling the inputs of your customer journey-- retailers can create a personalized experience for each buyer.
Implement real-time product recommendations and promotions.
Fraud Detection
Detect complex fraud involving multiple entities and accounts with Dgraph.
Unlike databases that rely on JOINs, Dgraph enables the analysis of large connected data sets to identify crucial relationships and patterns, resulting in more accurate and effective fraud detection.