Struggling to choose between MariaDB and Amazon RDS? Both products offer unique advantages, making it a tough decision.
MariaDB is a Databases solution with tags like opensource, dropin-replacement, mysql, gnu-gpl.
It boasts features such as Relational database management system, Open source and community developed, Drop-in replacement for MySQL, Supports JSON data type, Galera Cluster for high availability, Encryption, compression and replication capabilities and pros including Free and open source, High performance, High availability with clustering, Feature rich, Large community support.
On the other hand, Amazon RDS is a Online Services product tagged with database, relational-database, cloud-database, aws, amazon-web-services.
Its standout features include Automated provisioning, OS patching, and backups, Read replicas for improved read performance, Multi-AZ deployments for high availability, Supports multiple database engines (MySQL, PostgreSQL, Oracle, SQL Server, Amazon Aurora), Automatic scaling of compute and storage resources, Monitoring and logging capabilities, Secure access and data encryption, and it shines with pros like Reduced database administration overhead, Scalable and highly available database infrastructure, Supports a variety of database engines, Automatic backups and disaster recovery options, Integrated with other AWS services for easier management.
To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.
MariaDB is an open source relational database management system, created as a drop-in replacement for MySQL. It is developed by some of the original developers of MySQL and aims to remain free and open source software under the GNU GPL.
Amazon Relational Database Service (Amazon RDS) is a cloud-based relational database service that makes it easy to set up, operate, and scale databases in the cloud. It provides cost-efficient and resizable capacity while automating time-consuming administration tasks.