AWS Announces Three New Database Capabilities

Today, at AWS re:Invent, Amazon Web Services, Inc. (AWS), an Amazon.com, Inc. company (NASDAQ: AMZN), announced three new database capabilities that make it easier and more cost efficient for customers to scale and run the right databases for their job. Today’s announcements introduce a new managed database service for business applications that allows customers to customize the underlying database and operating system, a new table class for Amazon DynamoDB designed to reduce storage costs for infrequently accessed data, and a service that uses machine learning to better diagnose and remediate database-related performance issues. Together, these innovations make it easier and more cost effective for customers to manage data at scale.

As a growing number of applications need to work with petabytes—or even exabytes—of data with low latency and high performance, a one-size-fits-all database no longer meets the needs of customers who require highly available, reliable, and performant ways to leverage and manage data at scale. To meet these demands, more and more customers are looking to choose the right database for their unique needs. AWS offers the broadest and deepest selection of specialized database engines, including DynamoDB for key-value databases, Amazon Neptune for graph databases, Amazon ElastiCache and Amazon MemoryDB for Redis for in-memory databases, Amazon DocumentDB for document databases, Amazon Keyspaces (for Apache Cassandra) for wide-column databases, Amazon Timestream for time series databases, and Amazon Quantum Ledger Database (Amazon QLDB) for ledger databases. AWS is also the best place to run open-source databases, which is why more than 100,000 customers choose to run their MySQL and PostgreSQL-compatible databases on Amazon Aurora and enjoy the performance and availability of the highest-grade commercial databases at one-tenth the cost. Many customers also choose to run commercial databases on AWS to take advantage of the superior scalability, security, and elasticity AWS provides. Amazon Relational Database Service (Amazon RDS) offers a fully managed relational database service that makes it easy to set up, operate, and scale Oracle and Microsoft SQL Server databases in the cloud. When it comes to databases, AWS offers the right tools for the job, with more than 15 purpose-built database engines that provide customers with high availability, performance, reliability, and security for a wide range of use cases. The three new database capabilities announced today deliver significant new features to give customers even more choice and higher performance at lower costs.