AWS News Blog

Category: Database

Amazon Redshift – Up to 2X Throughput and 10X Vacuuming Performance Improvements

My colleague Maor Kleider wrote today’s guest post! , AWS’s fully managed data warehouse service, makes petabyte-scale data analysis fast, cheap, and simple. Since launch, it has been one of AWS’s fastest growing services, with many thousands of customers across many industries. Enterprises such as NTT DOCOMO, NASDAQ, FINRA, Johnson & Johnson, Hearst, Amgen, and […]

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New – Cross-Account Snapshot Sharing for Amazon Aurora

is a high-performance, MySQL-compatible database engine. Aurora combines the speed and availability of high-end commercial databases with the simplicity and cost-effective of open source databases (see my post, Amazon Aurora – New Cost-Effective MySQL-Compatible Database Engine for Amazon RDS, to learn more). Aurora shares some important attributes with the other database engines that are available […]

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Machine Learning, Recommendation Systems, and Data Analysis at Cloud Academy

In today’s guest post, Alex Casalboni and Giacomo Marinangeli of Cloud Academy discuss the design and development of their new Inspire system. Our Challenge Mixing technology and content has been our mission at Cloud Academy since the very early days. We are builders and we love technology, but we also know content is king. Serving […]

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Additional Failover Control for Amazon Aurora

is a fully-managed, MySQL-compatible, relational database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source database (read my post, Amazon Aurora – New Cost-Effective MySQL-Compatible Database Engine for Amazon RDS, to learn more). Aurora allows you create up to 15 read replicas to increase read […]

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Amazon RDS Update – Support for MySQL 5.7

You can now launch Amazon RDS database instances that run MySQL 5.7 . This release of MySQL offers a number of performance, scalability, and security enhancements. Here are some of the most important and relevant ones: Native support for JSON data and a set of built-in JSON functions (JSON_ARRAY, JSON_OBJECT, JSON_QUOTE, JSON_CONTAINS, JSON_CONTAINS_PATH, JSON_EXTRACT, JSON_KEYS, […]

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