Amazon Neptune, the managed graph database service by AWS, makes analytics faster and more agile while introducing a vision aiming to simplify graph databases.

It's not every day that you hear product leads questioning the utility of their own products. Brad Beebe, the general manager of Amazon Neptune, was all serious when he said that most customers don't actually want a graph database. However, that statement needs contextualization.

If Bebee had meant that in the literal sense, the team himself and Amazon Neptune Principal Product Manager Denise Gosnell lead would not have bothered developing and releasing a brand new analytics engine for their customers. We caught up with Bebee and Gosnell to discuss Amazon Neptune new features and the broader vision. 

We cover where Amazon Neptune fits in the AWS vision of data management, and how the new analytics engine provides a single service for graph workloads, high performance for graph analytic queries and graph algorithms, and vector store and search capabilities for Generative AI applications. We also share insights on the One Graph vision, the road from serverless to One Graph via HPC, as well as vectors and Graph AI.

Article published on Orchestrate all the Things: https://linkeddataorchestration.com/2023/11/29/amazon-neptune-introduces-a-new-analytics-engine-and-the-one-graph-vision/

00:00:00 Introduction

00:01:44 Amazon Neptune & AWS vision of data management

00:05:35 The Importance of Graph Databases  

00:08:55 Amazon Neptune Use Cases

00:13:13 Introduction to Amazon Neptune Analytics  

00:15:20 Key Features of Neptune Analytics  

00:17:40 Use Cases for Neptune Analytics 

00:21:10 Preparing Data for Generative AI Applications

00:23:37 Neptune Analytics Use Cases and Deployment

00:26:43 Pricing and Roadmap Q&A

00:48:46 Conclusion