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AWS Introduces Amazon Neptune Serverless for Graph Database Workloads

Snap, LexisNexis Legal & Professional, and Wiz are some of the customers using Amazon Neptune Serverless

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Amazon Web Services (AWS) on Wednesday announced Amazon Neptune Serverless –  a new serverless option made for Amazon Neptune – that automatically scales business-critical and unpredictable graph database workloads.  A part of the company’s web service, Amazon Neptune, is a high-performance graph database service to store and query complex connected datasets. 

The company, in a press release, said that the Amazon Neptune Serverless would include Amazon Neptune’s advanced capabilities for high availability and performance. Moreover, there would be no additional costs to use the new feature, with customers only paying for the database resources. 

Vice president of Databases, Analytics and ML at AWS, Swami Sivasubramanian, said, “Customers tell us that they appreciate the ability to use Amazon Neptune to understand complex relationships among highly connected data points. With Amazon Neptune Serverless, customers have a graph database that seamlessly scales and automatically provisions clusters to provide just the right amount of capacity to meet demand. This allows them to build and run applications for even the most variable and unpredictable workloads without having to worry about provisioning capacity, scaling clusters, or incurring costs for unused resources.”

With the help of Amazon Neptune Serverless, customers will no longer need to scale and manage various database instances. The new option would automatically provision graph database workloads to thousands of queries to maintain fast performance for applications with unpredictable workloads. By only paying for the database resources, customers will save up to 90% compared to provisioning for peak capacity.

Snap, LexisNexis Legal & Professional, and Wiz are some of the customers using Amazon Neptune Serverless. Amazon Neptune Serverless is available to customers running Amazon Neptune in regions such as USA, Pacific (Tokyo), and Europe (London), with the availability in other AWS Regions coming soon.

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Bhuvana Kamath

I am fascinated by technology and AI’s implementation in today’s dynamic world. Being a technophile, I am keen on exploring the ever-evolving trends around applied science and innovation.
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