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This is a post to announce DGraph, an open source, distributed, scalable native graph database. DGraph is designed to handle terabytes of structured data, over commodity hardware. | ||
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The design and inspiration is drawn from my experiences working in Google Knowledge Infra group. DGraph is under active development, and is looking to hire talented engineers. | ||
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Github page: https://github.com/dgraph-io/dgraph | ||
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Features: | ||
- Aimed at real time user queries. | ||
- Low Latency, High Throughput. | ||
- Distributed Native Graph database. | ||
- Network calls are proportional to complexity of query, not number of results. | ||
- Supports GraphQL as query language. | ||
- (planned) Shard replication, High availability, Crash resilience. | ||
- (roadmap) https://github.com/dgraph-io/dgraph/issues/1 | ||
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Performance: | ||
- Loads up 21M RDFs from Freebase Film data in 20 mins. | ||
- Runs complex queries about Steven Spielberg in ~200ms. | ||
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Happy to answer any questions! | ||
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Cheers, | ||
Manish |