Another Word For It Patrick Durusau on Topic Maps and Semantic Diversity

November 29, 2017

Amazon Neptune (graph database, preview)

Filed under: Graph Analytics,Graphs,Gremlin,TinkerPop — Patrick Durusau @ 5:54 pm

Amazon Neptune

From the webpage:

Amazon Neptune is a fast, reliable, fully-managed graph database service that makes it easy to build and run applications that work with highly connected datasets. The core of Amazon Neptune is a purpose-built, high-performance graph database engine optimized for storing billions of relationships and querying the graph with milliseconds latency. Amazon Neptune supports popular graph models Property Graph and W3C’s RDF, and their respective query languages Apache TinkerPop Gremlin and SPARQL, allowing you to easily build queries that efficiently navigate highly connected datasets. Neptune powers graph use cases such as recommendation engines, fraud detection, knowledge graphs, drug discovery, and network security.

Amazon Neptune is highly available, with read replicas, point-in-time recovery, continuous backup to Amazon S3, and replication across Availability Zones. Neptune is secure, with support for encryption at rest and in transit. Neptune is fully-managed, so you no longer need to worry about database management tasks such as hardware provisioning, software patching, setup, configuration, or backups.

Sign up for the Amazon Neptune preview here.

I’m skipping the rest of the graph/Amazon promotional material because if you are interested, you know enough about graphs to be bored by the repetition.

Interested in know your comments on:


Amazon Neptune provides multiple levels of security for your database, including network isolation using Amazon VPC, encryption at rest using keys you create and control through AWS Key Management Service (KMS), and encryption of data in transit using TLS. On an encrypted Neptune instance, data in the underlying storage is encrypted, as are the automated backups, snapshots, and replicas in the same cluster.

Experiences?

You are placing a great deal of trust in Amazon. Yes?

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