Find out in this report how the two Relational Databases Tools solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
Amazon Aurora is a MySQL and PostgreSQL-compatible relational database built for the cloud, that combines the performance and availability of traditional enterprise databases with the simplicity and cost-effectiveness of open source databases.
Amazon Aurora is up to five times faster than standard MySQL databases and three times faster than standard PostgreSQL databases. It provides the security, availability, and reliability of commercial databases at 1/10th the cost. Amazon Aurora is fully managed by Amazon Relational Database Service (RDS), which automates time-consuming administration tasks like hardware provisioning, database setup, patching, and backups.
Amazon Aurora features a distributed, fault-tolerant, self-healing storage system that auto-scales up to 64TB per database instance. It delivers high performance and availability with up to 15 low-latency read replicas, point-in-time recovery, continuous backup to Amazon S3, and replication across three Availability Zones (AZs).
Visit the Amazon RDS Management Console to create your first Aurora database instance and start migrating your MySQL and PostgreSQL databases.
MariaDB is an open source relational database created by the original founders of MySQL. It is considered one of the most popular and trusted database servers throughout the world. MariaDB is a valued component found in most cloud offerings and is the default in many Linux tools. It is also widely used by Wikipedia, WordPress, and Google, among other well-known sites. Maria DB easily melds data into concise information from a vast array of applications, such as banking, online shopping, websites, and more.
MariaDB was originally created to improve MySQL performance. It is the most widely chosen database server due to the solution being super fast, robust, user-friendly, and easily scalable. MariaDB also offers a substantial ecosystem of plugins, storage engines, and numerous other valuable tools that make it very attractive for a significant offering of use cases.
The solution’s newest functionalities include compatibility with Oracle Database and Temporal Data Tables, and advanced clustering with Galera Cluster 4, which make it easier for users to research data history from any point in the past. Additionally, the most recent versions include JSON and GIS features. MariaDB is committed to staying an open source solution.
MariaDB Features
Reviews from Real Users
Faustine C., Engineering Supervisor- Corporate Data Solutions and Services at TZ Telecoms Corporation, shares, “The software provides a lot of information on what is happening inside the database. For most performance parameters it is easy to know if something is not right in the configuration or optimization which helps engineers take remedial fine-tuning measures. For example, if the database is underperforming it is easy to know which performance parameter can be adjusted to handle the workload. It is difficult to troubleshoot database issues if many performance parameters can not be monitored or debugged which is the case with some database management systems. It provides great monitoring of data storage, processing, and performance stability which is really important for real-time data storage and processing. It's a user-friendly product.”
A PeerSpot user who is a Senior Engineer at a tech services company relates, “ The solution's high availability is its most valuable aspect. We have found the product to be stable and the initial setup is pretty simple. I'd rate the solution at a ten out of ten. I'm very happy with it overall. I would recommend the solution to others. It's easy to find details about the product online and to learn about it.”
We monitor all Relational Databases Tools reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
