Category: MySQL compatible

Dhruv Thukral and Yahav Biran are solutions architects at Amazon Web Services. Amazon Aurora is a relational database that combines the speed and reliability of high-end commercial databases with the simplicity and cost-effectiveness of open-source databases. Amazon Aurora offers two types of modes: provisioned and serverless. AWS gaming customers that use Aurora have typically observed higher […]

In this blog post, we discuss the advantages of GTID-based replication and support of Amazon Aurora for MySQL.

Born on AWS InfoScout was born on AWS, being along for the journey since its inception in 2011. It all started with a single Amazon EC2 instance to collect receipts uploaded from friends and family. Seven years later, we now manage 150+ AWS instances to support our mobile applications, data pipelines, machine learning models, and […]

Amazon Aurora with MySQL compatibility is a popular choice for customers looking to consolidate database workloads. Aurora MySQL is a relational database engine that combines the speed and reliability of high-end commercial databases with the simplicity and cost-effectiveness of open-source databases. It also delivers up to five times the throughput of the standard MySQL community […]

MySQL is the most popular open-source database in the world. However, many customers find that the undifferentiated heavy lifting of backups, high availability, and scaling of MySQL databases to be complex, time-consuming, or both. This is one of the leading reasons why customers move their existing MySQL footprint to Amazon RDS for MySQL. Amazon RDS […]

Security is a top priority at AWS, and the same is true for our customers. We spend a significant amount of resources protecting personal data and are constantly enhancing our capabilities to make data protection easier for our customers. All AWS services including the MySQL-compatible edition of Amazon Aurora comply with the European Union’s General […]

One of the biggest challenges enterprises face is setting up and maintaining a reliable extract, transform, and load (ETL) process to extract value and insight from data. Traditional ETL tools are complex to use, and can take months to implement, test, and deploy. After the ETL jobs are built, maintaining them can be painful because […]

By Nathaniel Kangpan, SVP Technology & Data Services, Kepler Group I have yet to meet a client in the past 12 months that doesn’t already (a) have a team or two dipping their toes into cloud-based infrastructure, or (b) have the cloud on their roadmap for 2018. Total cost of ownership (TCO) savings for migrating […]

Database migrations are challenging, especially for heterogeneous database migrations such as Oracle to Amazon Aurora PostgreSQL, Oracle to Amazon Aurora MySQL, or Microsoft SQL Server to MySQL. The schema structure, data types, and database code of source databases can be quite different from those of the target databases, requiring a schema and code transformation step before the […]

Introduction Amazon Relational Database Service (Amazon RDS) enables you to use AWS Identity and Access Management (IAM) to manage database access for Amazon RDS for MySQL DB instances and Amazon Aurora MySQL DB clusters. Database administrators can associate database users with IAM users and roles. By using IAM, you can manage user access to all AWS resources from a single location, avoiding […]