Read 9 Dgraph reviews and testimonials from customers, explore 3 case studies and customer success stories, and watch customer videos to see why companies chose Dgraph as their undefined

Dgraph is an open-source, low-latency, high throughput, native, and distributed graph database. Designed to easily scale to meet the needs of small startups as well as large companies with massive amounts of data, graph can handle terabytes of structured data running on commodity hardware with low latency for real-time user queries. It addresses business needs and uses cases involving diverse social and knowledge graphs, real-time recommendation engines, semantic search, pattern matching, and fraud detection, serving relationship data, and serving web apps.

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Customer Rating Review Scorebased on 905 reference ratings
4.8/5.0 (905)

9Testimonials

  • "They all connect together with different relationships and they all have different symbols that map onto them."

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3 Case Studies

  • 160 Million Nodes and Two Billion Edges: How FactSet Uses Dgraph and GraphQL+- to Power One of The Largest Financial Databases in the World

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Read Dgraph Reviews, Testimonials & Customer References from 9 real Dgraph customers.

Browse Dgraph Case Studies, Customer Success Stories, & Customer References from 3 businesses that use Dgraph.