Amazon Aurora | Web Scraping Tool | ScrapeStorm

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Introduction

Amazon Aurora is a cloud-native relational database service launched by Amazon Web Services (AWS). It combines high performance, high availability, and low cost, and is designed specifically for cloud environments.

Applicable Scene

Amazon Aurora is suitable for enterprise-level applications (such as e-commerce, finance, and SaaS platforms) and global businesses that require high concurrency, high availability, strong consistency, and cost-effectiveness. It is particularly suitable for scenarios with strict requirements on performance, elasticity, and security in cloud-native environments.

Pros: Amazon Aurora combines the high performance of commercial databases (up to 5 times the throughput of MySQL and 3 times that of PostgreSQL) with the flexibility and cost-effectiveness of open source databases. It supports high availability (99.99% availability), automatically expanding storage (up to 128TB), multi-AZ deployment, and strong consistency. It is compatible with MySQL and PostgreSQL, has low migration costs, and is suitable for enterprise-level applications, high-concurrency web services, and big data analysis scenarios.

Cons: Write operations are not horizontally scalable and globally consistent, supporting only eventual consistency (last writer wins) for multi-master deployments, sacrificing slave replica consistency for read scalability, and the compatibility of early versions with MySQL 5.6/5.7 was questionable.

Legend

1. How Does Amazon Aurora Work.

2. Amazon Aurora PostgreSQL.

Related Article

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Data Export

Data Backup

Reference Link

https://aws.amazon.com/rds/aurora/

https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/CHAP_AuroraOverview.html

https://en.wikipedia.org/wiki/Amazon_Aurora