This document discusses and compares Neptune and JanusGraph graph databases. It provides an overview of Neptune's features like multi-AZ deployment and storage in S3. It also describes how to access Neptune using Gremlin and SPARQL query languages. The document then introduces JanusGraph and notes some key differences when using Gremlin APIs with Neptune versus JanusGraph. It shares the results of a performance test loading Amazon product graph data into both systems. Finally, it discusses options for loading and querying data between Neptune, Athena, Kinesis and other AWS services.
This document discusses and compares Neptune and JanusGraph graph databases. It provides an overview of Neptune's features like multi-AZ deployment and storage in S3. It also describes how to access Neptune using Gremlin and SPARQL query languages. The document then introduces JanusGraph and notes some key differences when using Gremlin APIs with Neptune versus JanusGraph. It shares the results of a performance test loading Amazon product graph data into both systems. Finally, it discusses options for loading and querying data between Neptune, Athena, Kinesis and other AWS services.
This document discusses various ways to customize and extend PHP beyond its typical usage as a templating language. It explores how PHP's opcode cache, extensions, object model, and virtual machine can be leveraged. It also provides examples of PHP's lexer, parser, and how opcodes are generated from PHP code.