AWS Releases Amazon Neptune Serverless to Optimize Graph Database Environments

Highlights –

  • The recently released serverless version of the product, Neptune Serverless, automates additional maintenance tasks to make business technology operations even easier.
  • Neptune Serverless, according to AWS, can also assist businesses in cutting costs by up to 90% in specific circumstances, such as when an application is operating at full capacity.

Amazon Web Services Inc recently unveiled a serverless version of its cloud-based graph database service, Amazon Neptune.

The recently released Amazon Neptune Serverless is designed to make daily tasks easier for administrators. The service’s goal is to lower the price of cloud infrastructure.

A graph database is a specialized database that keeps track of both business records and information about how the records are related to one another. For instance, a graph database can show whether the same business unit produced two sales records. Companies can keep track of connections between various datasets like servers and network logs.

This is not to say that graph databases are the only type of database that can store these connections. However, graph databases maintain the information in a way that makes analysis much quicker than less specialized systems. Because of this, they are frequently used to power applications that need to be able to recognize connections between different data points.

The managed graph database service of Amazon is called Neptune. Numerous routine maintenance procedures, such as backup, recovery, and patching, can be automated with the help of Neptune. The recently released serverless version of the product, Neptune Serverless, automates additional maintenance tasks to make business technology operations even easier.

Applications send varying numbers of queries to a graph database environment over time. Depending on changes to the usage, the infrastructure provisioned to the database environment must be scaled up or down to meet demand. In the past, Neptune users had to perform this task manually.

Neptune Serverless automates the process. According to AWS, the offering recognizes when application requirements change and adds or removes database capacity as per user needs. According to AWS, Neptune Serverless can handle hundreds of thousands of queries in less than a second.

Administrators will have to do less manual work if the infrastructure provisioning process is automated. Neptune Serverless, according to AWS, can also assist businesses in cutting costs by up to 90% in specific circumstances, such as when an application is operating at full capacity. It can be challenging to manually scale up a database environment when an application reaches its maximum throughput and to scale it down when usage levels drop quickly.

According to Swami Sivasubramanian, vice president of databases, analytics, and machine learning at AWS, “Now, with Amazon Neptune Serverless, customers have a graph database that automatically provisions and seamlessly scales clusters to provide just the right amount of capacity to meet demand, allowing them to build and run applications for even the most variable and unpredictable workloads.”

The cloud giant has introduced several serverless offerings, the most recent of which is Neptune Serverless. Serverless versions of AWS’s cloud-based data warehouse, Amazon Redshift, and its relational database service, Amazon Aurora, have already been released. The latter offering was updated earlier this year with new features intended to optimize customer cloud infrastructure costs and enhance performance.

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