AWS Announces the General Availability of Amazon Aurora DSQL

Amazon Web Services, Inc.(AWS) announced the general availability of Amazon Aurora DSQL, a serverless, distributed SQL database that enables customers to easily create databases to build applications with the highest availability, multi-Region strong consistency, PostgreSQL compatibility, and read and write speeds up to 4x faster than other popular distributed SQL databases. 

Until now, customers building globally distributed applications faced difficult trade-offs when selecting a database: Existing solutions offered either low latency without strong consistency, or strong consistency with high latency, but never both low latency and strong consistency in a highly available SQL database.

"Modern applications require databases that can deliver both world-class performance and strong consistency without compromise," said G2 Krishnamoorthy, vice president of Database Services at AWS. 

"With Amazon Aurora DSQL, we've fundamentally reimagined distributed database architecture to enable customers to build applications with virtually unlimited scalability and zero operational overhead, while maintaining the strict consistency their businesses demand."

Amazon Aurora is a relational database built for the cloud, delivering all the performance and availability of a high-end commercial database with the flexibility and cost-effectiveness of an open source database. 

Today, hundreds of thousands of customers use Aurora for their relational databases. While Aurora provides a robust set of features to support customers’ data workloads and applications, real-time applications that serve millions of users worldwide can push the limits of a relational database by creating new challenges in scalability, consistency, and performance across geographically dispersed regions. 

Customers building these applications want a SQL database that operates seamlessly across multiple Regions with low latency, strong consistency, and high availability—all without the burden of infrastructure management.

With Aurora DSQL, customers do not have to make trade-offs between latency, consistency, and SQL. Aurora DSQL offers automated failure recovery, multi-Region strong consistency, and the ability to read and write from any Aurora DSQL endpoint, ensuring a customer’s application is always available. 

With Aurora DSQL, all transactions written in one Region are reflected in other Regions with strong consistency. Customers no longer have to worry about operational tasks like provisioning, patching, and managing database instances, and all updates occur with zero downtime and no performance impact. 

With Aurora DSQL, read and write operations are automatically and independently scaled without sharding or instance upgrades, and transaction processing is decoupled from storage, eliminating the traditional bottlenecks and back-and-forth communication that limit performance. 

Aurora DSQL also provides a Model Context Protocol server, making it easy for customers' generative AI models and AI-powered agents to interact with their database through natural language for use cases such as performance analysis, feature development, and building test environments. 

Aurora DSQL is PostgreSQL compatible, offering an easy-to-use developer experience. The serverless architecture and virtually unlimited scale of Aurora DSQL make it ideal for a wide range of workloads, from high-throughput financial transactions and real-time gaming leaderboards to social media applications and e-commerce platforms.