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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.
“I got the scoop on a new kick-ass GraphQL service that's amazing even in its very early stage. You put the SDL text of your schema and it gives you …
“Dgraph benefits from its team’s years of accumulation in the fields of web search, deep traversals, knowledge graph, etc., which effectively solves the problems of graph segmentation and large fan-out …
“Dgraph’s performance made it easy to both query and subsequently prune relationships (e.g. unfollows). Without it, I don’t think I would have even attempted my project.”
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