Amazon Aurora is a fully managed relational database engine designed for high performance and availability. It is compatible with MySQL and PostgreSQL, offering scalability, durability, and security for enterprise applications. Aurora automates tasks like hardware provisioning, patching, backups, and recovery, allowing users to focus on application development.
Top 5*
Database Technologies
About Amazon Aurora
Amazon Aurora was launched by Amazon Web Services (AWS) in 2014. It was developed to address the need for a highly scalable, reliable, and cost-effective relational database solution. Aurora aimed to combine the performance and availability of high-end commercial databases with the simplicity and cost-effectiveness of open-source databases.
Strengths of Amazon Aurora include high performance, scalability, and full compatibility with MySQL and PostgreSQL. It also offers automated backups, patching, and recovery. Weaknesses include potential vendor lock-in and higher costs compared to some open-source alternatives. Competitors include Google Cloud SQL, Microsoft Azure SQL Database, and Oracle Autonomous Database.
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How to hire a Amazon Aurora expert
An Amazon Aurora expert must have skills in SQL and relational database design, proficiency in MySQL and PostgreSQL, experience with AWS services such as RDS and IAM, knowledge of performance tuning and optimization techniques, familiarity with backup and recovery procedures, and expertise in monitoring and troubleshooting database issues.
*Estimations are based on information from Glassdoor, salary.com and live Howdy data.
USA
$ 224K
Employer Cost
$ 127K
Employer Cost
$ 97K
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