49 min
Amazon Neptune introduces a new Analytics engine and the One Graph vision. Featuring Brad Beebe & Denise Gosnell, Amazon Neptune General Manager & Principal Product Manager Orchestrate all the Things
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- Technology
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
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
49 min