AWS Announces General Availability for Amazon Aurora PostgreSQL

AWS Announces General Availability for Amazon Aurora PostgreSQL

Amazon Aurora, the fastest growing service in AWS history, is now fully compatible with both MySQL and PostgreSQL, delivering the performance and availability of high-end commercial databases at one-tenth the cost

Over a thousand customers, including Verizon, Capital One, FINRA, Fannie Mae, C3 IOT, Urban Airship, FantasyDraft, BMC, Blackboard, and Nielsen, participated in the preview, battle-testing PostgreSQL compatibility for Amazon Aurora and running millions of hours against their real-world application workloads

SEATTLE--(BUSINESS WIRE)--Oct. 24, 2017-- Today, Amazon Web Services, Inc. (AWS), an Amazon.com company (NASDAQ: AMZN), announced general availability for Amazon Aurora with PostgreSQL compatibility. Amazon Aurora is a cloud-optimized relational database that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. Now, customers who use PostgreSQL databases can get up to several times better performance with scalability, durability, availability, and security as good as or better than commercial databases-all at one-tenth the cost. With no upfront costs or commitments required, customers pay a simple hourly charge for each Amazon Aurora database instance they use, and can automatically scale storage capacity with no downtime or performance degradation. AWS also announced that customers migrating to Amazon Aurora from another database can use the AWS Database Migration Service (DMS) free of charge for the next six months. To get started with Amazon Aurora, visit https://aws.amazon.com/aurora

Historically, customers have had to choose between performance and price when evaluating database solutions. Commercial databases offer high performance and advanced availability features, but are expensive, complex to manage, have high lock-in, and come with punitive licensing terms. Open source databases such as PostgreSQL and MySQL require less capital expense, but customers often find they cannot achieve the performance or availability of commercial databases. Amazon Aurora offers the best of both worlds-the performance and availability of the highest-grade commercial databases at a cost more commonly associated with open source. And, with more and more enterprises embracing PostgreSQL for its user-defined functions and data types, complex SQL support, NoSQL and JSON support, broad application language support, and closer semantics to some of the old guard databases, Amazon Aurora's PostgreSQL launch comes at a great time for customers looking to break free of the cost and complexity of traditional commercial databases.

When we made Amazon Aurora available in 2015, for the first time, customers had a cost-effective and high performance alternative to commercial databases like Oracle and SQL Server-and this is a big part of why Amazon Aurora is the fastest-growing service in the history of AWS, said Raju Gulabani, Vice President, Databases, Analytics, and Machine Learning, AWS. While we've been amazed at the growth of Amazon Aurora's MySQL-compatible edition, many of our enterprise customers anxious to move on from their old world database providers have been waiting for Amazon Aurora's PostgreSQL-compatible edition to launch into general availability. We're excited to help these customers take another step toward database freedom.

Amazon Aurora delivers up to several times better performance compared to standard MySQL and PostgreSQL by using a variety of software and hardware techniques to ensure the database is able to fully leverage available compute, memory, and networking resources. Amazon Aurora storage scales automatically, growing and rebalancing Input and Outputs (I/O) across the fleet to provide consistent performance. For example, a customer can start with a database of 10GB and have it automatically grow up to 64TB, without requiring any downtime. Amazon Aurora is highly available and durable, automatically replicating data across multiple Availability Zones and continuously backing up data to Amazon Simple Storage Service (Amazon S3), which is designed for 99.999999999 percent durability. Amazon Aurora is designed to offer greater than 99.99 percent availability and to automatically detect and recover from most database failures in less than 30 seconds, without crashing or the need to rebuild database caches. Amazon Aurora continually monitors instance health and, if there is a failure, it will automatically failover to a read replica without loss of data.

Capital One, a leading information-based technology company and digital banking innovator, has taken a cloud-first approach to software development. At Capital One, our cloud-first approach led us to start testing the preview of Amazon Aurora's PostgreSQL compatibility in November 2016, said John Andrukonis, Chief Architect, Capital One. We anticipated performance benefits, as well as the high availability and fast failover capabilities ideal for serving our customers. In our testing during the preview, we've been impressed with the performance and high availability offered by Amazon Aurora.

FINRA regulates a critical part of the securities industry - brokerage firms doing business with the public in the United States. FINRA takes in up to 75 billion market events per day that are tracked, aggregated, and analyzed for the purpose of protecting investors. FINRA is in the process of migrating most of our relational databases to AWS, said Saman Michael Far, Senior Vice President & CTO, FINRA. We have evaluated Amazon Aurora with PostgreSQL compatibility, and we look forward to increasing our usage, because PostgreSQL is the best destination for our relational database workloads.

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