About us
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, DGraph 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.
About us
Come join us @Dgraph, the world's most advanced graph database.
Designed to easily scale to meet the needs of small startups as well as large companies with massive amounts of data, DGraph 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.
About us
Come join us @Dgraph, the world's most advanced graph database.
Started by ex-Google engineers, Dgraph Labs is a San Francisco based startup with team members and offices all over the globe. Together, we are building the next-generation database that is powerful yet easy to use. With over 13,000 GitHub stars and more than 2 million Docker pulls, Dgraph is the most popular open-source graph database in the market. Our customers range from global Fortune 500 companies to emerging startups.
Dgraph's goal is to provide Google-production level scale and throughput, with low enough latency to serve real-time user queries over terabytes of structured data. Our database can power applications ranging from fraud detection, real-time recommendations, master data management, machine learning and many more. We are well-funded, with lead investors from Redpoint and Bain Capital.
Dgraph's goal is to provide Google-production level scale and throughput, with low enough latency to serve real-time user queries over terabytes of structured data. Our database can power applications ranging from fraud detection, real-time recommendations, master data management, machine learning and many more. We are well-funded, with lead investors from Redpoint and Bain Capital.
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