AWS Aurora is a cloud-based relational database engine provided by Amazon Web Services (AWS). It is available in two editions: Aurora and Aurora Serverless. The former provides an on-demand, fully managed, MySQL and PostgreSQL-compatible relational database service with the same performance and availability of commercial databases at a fraction of the cost. Conversely, the latter is an auto-scaling option that can adjust compute and memory capacity automatically based on application needs. Both versions offer high availability, reliability, scalability, data security and durability.
Aurora was designed to be highly compatible with existing applications using either MySQL or PostgreSQL databases. It runs on the proven AWS infrastructure powered by Amazon’s industry leading hardware, storage and network technologies such as SSDs for storage, EC2 instances for compute power, and 10gigE networking for fast data processing speeds. This helps reduce overhead associated with managing complex database architectures. Additionally, Aurora provides users with automated backups for point in time recovery (PITR), automatic failover to prevent downtime from system outages or server crashes; multi-AZ deployment to improve fault tolerance; free signed SSL certificates; integrated monitoring tools; Amazon CloudWatch metrics; audit logging; encryption at rest; automated patching; and access control via IAM roles.
Moreover, its performance capabilities are superior to traditional databases due to its unique design which separates storage from compute activities allowing them to scale independently of each other. Its underlying distributed storage system scales up to 64TB per instance providing more space than most applications will ever require while simultaneously keeping latency low. Furthermore, it allows users to pause instances during non-peak hours while still guaranteeing consistent read/write throughput across multiple Availability Zones (AZs).
AWS Aurora is a relational database engine that is available as part of Amazon Web Services (AWS). It provides users with a high-performance, low-cost alternative to traditional databases. The engine is designed for scalability, making it ideal for applications that require large amounts of data storage or complex queries.
In terms of cost efficiency, Aurora can save money by utilising advanced techniques like serverless computing and auto scaling. This means that customers only pay for the resources they consume at any given time and can automatically scale up or down depending on their needs. Furthermore, Aurora has a built-in backup system that allows customers to quickly recover data in case of an outage or failure. Finally, Aurora offers integration with other services within AWS such as Lambda functions and Amazon Simple Storage Service (Amazon S3).
Overall, AWS Aurora provides users with a powerful relational database system that offers reliability, security protection against malicious attacks, cost savings through serverless computing and auto scaling abilities as well as integration with other AWS services such as Lambda functions and Amazon S3. All these features make it appealing for organisations looking for a cost efficient yet scalable database engine solution for their applications without compromising performance or quality.
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