MySQL and Amazon Aurora compete in the database management systems category. Amazon Aurora seems to have the upper hand due to its managed services and enhanced scalability by AWS, providing high performance and availability.
Features: MySQL offers a multi-threaded architecture, indexed conditional pushdown, and compatibility with LAMP/WAMP, being open-source, extensible, and scalable. Amazon Aurora provides high performance and availability, along with unique scalability features and compatibility with MySQL and PostgreSQL.
Room for Improvement: MySQL faces challenges with complex InnoDB functionality, lack of active directory integration, and less strong support for large-scale databases compared to Aurora. Amazon Aurora's pricing concerns and limited feature enhancement outside the AWS ecosystem suggest areas for improvement.
Ease of Deployment and Customer Service: MySQL is commonly deployed on-premises or in hybrid cloud environments with community support but lacks consistent official technical backing. Amazon Aurora benefits from AWS's public cloud deployment, offering robust customer support including AWS managed service advantages.
Pricing and ROI: MySQL's open-source nature offers a cost-effective option for businesses, though enterprise versions incur costs but offer favorable ROI for non-critical tasks. Amazon Aurora may be costlier than self-managed alternatives but is seen as cost-effective for its performance capabilities.
Using Amazon Aurora has saved us significantly in terms of manpower costs, with nearly fifty percent savings compared to an on-premises solution.
I have seen a return on investment with MySQL, as it allows us to manage with fewer employees, focusing on business logic rather than database management.
Technical support from Amazon is rated very highly.
The initial support could improve by having engineers familiarize themselves with the issue content to provide more specialized assistance from the start.
I would rate the documentation and online support a 10 out of 10.
We have no issues and usually receive timely responses.
This scalability is critical as it allows for runtime expansion, which is essential for businesses moving from on-premises to the cloud.
Meeting scalability requirements through cloud computing is an expensive affair.
MySQL's scalability is currently adequate, as we have increased operations from ten thousand to twelve thousand devices, and it is working fine for us.
It offers a stable environment, ensuring consistent performance.
We face certain integration issues, especially when we integrate the database with security solutions like IBM QRadar.
From my experience, MySQL was pretty stable.
There are technical challenges, such as the inability to provision the database using a PostgreSQL snapshot directly.
Keeping extensions up-to-date with PostgreSQL releases would enhance Aurora's functionality.
I used the backup options in Amazon Aurora for cloning databases. It's very common.
When there are multiple application servers connecting to the MySQL cluster and going through the MySQL load balancer, the documentation is not user-friendly.
I would advise people thinking about using MySQL to look up if the indexing mechanism is useful for their needs and then accordingly select the right database, and also consider if relational databases make sense for their use case.
It could be more beneficial if MySQL can enhance its data masking functionality in the same way it has improved data encryption.
Amazon Aurora is not very expensive as other solutions with similar features from other vendors come at almost the same cost.
The pricing is reasonable and not overly expensive.
The pricing for Amazon Aurora is different from DocumentDB because DocumentDB is cheaper.
Oracle has different components, so if you need security, you have to procure a different license, but here everything is inbuilt and it's not costly.
It replicates data across multiple Availability Zones, ensuring high availability and geographical redundancy, which can be considered a GR instead of a DR.
Amazon Aurora offers a 99.9% SLA compared to PostgreSQL. This ensures a high level of availability for our applications.
The main feature we utilize in MySQL is the view, and I can say that it is the most valuable feature for our needs.
With Oracle, we have to buy another solution for encryption and masking, but MySQL supports native encryption, which enhances our return on investment.
It's an inbuilt feature of the database itself, and you don't have to purchase an additional license for the replication.
| Product | Market Share (%) |
|---|---|
| MySQL | 6.9% |
| Amazon Aurora | 2.8% |
| Other | 90.3% |
| Company Size | Count |
|---|---|
| Small Business | 5 |
| Midsize Enterprise | 4 |
| Large Enterprise | 13 |
| Company Size | Count |
|---|---|
| Small Business | 74 |
| Midsize Enterprise | 32 |
| Large Enterprise | 62 |
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.
MySQL is an open-source database known for its ease of use and high performance. It offers features like replication and clustering, making it ideal for diverse applications. Its cost-effectiveness and LAMP integration are key advantages for businesses.
MySQL supports a variety of languages and platforms, providing reliable, scalable data management. Its graphical interface and LAMP architecture integration enhance its usability, while community support further strengthens its appeal. Challenges include scalability issues with large databases, lack of advanced clustering, and limited high-availability features. Complex queries may affect performance, and integration can pose difficulties. The outdated interface and insufficient documentation are also concerns, along with replication and backup reliability issues.
What are MySQL's key features?MySQL is widely implemented in industries such as web development, e-commerce, and finance. It's used for managing dynamic websites, powering e-commerce platforms, and supporting financial applications. Its compatibility with PHP and cost-effectiveness make it suitable for CMS platforms like WordPress. With cloud services integration, MySQL is a backend choice for scalable applications in various sectors.
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