Amazon Neptune: Graph Data Management in the Cloud

Kiln October 12, 2018 11:45 - 12:00

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Bradley Bebee, Daniel Choi, Ankit Gupta, Andi Gutmans, Ankesh Khandelwal, Yigit Kiran, Sainath Mallidi, Bruce McGaughy, Mike Personick, Karthik Rajan, Simone Rondelli, Alexander Ryazanov, Michael Schmidt, Kunal Sengupta, Bryan Thompson, Divij Vaidya and Shawn Wang.  

Abstract:  We present Amazon Neptune, a fast, reliable, and fully managed graph database service. Supporting both the Apache Tinkerpop Gremlin stack as well as the RDF 1.1 / SPARQL 1.1 W3C standards, Amazon Neptune efficiently stores and navigates highly connected data, allowing developers to create interactive graph applications that can query billions of relationships with millisecond latency. As a purpose-built cloud service, Neptune is seamlessly embedded into the Amazon Web Service (AWS) ecosystem and comes with a broad set of enterprise features including SDKs for deployment and configuration, high availability and scale-up using replication, automatic backup and restore functionality, point in time recovery, monitoring, encryption-at-rest, security using VPCs and integrated access management, as well as audit logs. In our presentation we will sketch customer use cases, put them into context with Neptune architecture and features, and discuss options for engagement with the Semantic Web community.

Keywords:  RDF;  SPARQL;  Property Graphs;  Gremlin;  Databases;  Cloud