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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.
“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 …
“From scalability, fault-tolerant, read speed, to handling joins and rebalance of data across shards, Dgraph offers a powerful suite of tools that every GraphQL developer wants. No ORMs, no N+1 …
“To operate in a sustainable way, we needed to know whether the maintenance cost of each platform met our budget and whether it was worth the investment.”
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