MySQL
Definition
One of the world's most popular open-source relational database management systems, widely offered as a fully managed cloud service.
Use Cases
- Booking.com: Storing and serving transactional data for travel booking workflows at high scale — Uses MySQL as a core relational datastore and operates MySQL at large scale with replication, sharding/partitioning patterns, and strong operational automation to support high availability and performance (Supports high-throughput, low-latency transactional workloads and reliable booking experiences at global scale)
- GitHub: Powering core application data for a large web platform (users, repositories, issues, and metadata) — Uses MySQL as a primary relational database and scales it with replication, careful schema design, and operational practices to maintain performance and availability (Enables consistent, structured storage for critical application data while supporting a large, active user base)
- Wikipedia (Wikimedia Foundation): Storing structured content metadata and application data for a high-traffic encyclopedia platform — Uses MySQL/MariaDB-family relational databases with replication and caching layers to serve read-heavy traffic efficiently (Delivers reliable access to structured site data and supports high read volumes with strong availability)
Provider Equivalents
- AWS: Amazon RDS for MySQL; Amazon Aurora MySQL-Compatible Edition
- Azure: Azure Database for MySQL
- GCP: Cloud SQL for MySQL
- OCI: MySQL Database Service (with MySQL HeatWave option)
Frequently Asked Questions
- What's the difference between MySQL and PostgreSQL?
- Both are relational databases that use SQL, but they have different strengths. MySQL is widely used for web applications and is known for simplicity and broad ecosystem support. PostgreSQL is often chosen for advanced SQL features, complex queries, and stricter standards compliance. In managed cloud services, both can be highly available and scalable; the best choice depends on your feature needs, existing skills, and workload patterns.
- When should I use MySQL?
- Use MySQL when you need a reliable relational database for structured data such as users, orders, inventory, or content metadata—especially for web and SaaS applications. It’s a strong fit when you want ACID transactions, familiar SQL querying, and a mature ecosystem of tools and libraries. If you want to reduce operational work, choose a managed MySQL service for automated backups, patching, monitoring, and high availability.
- How much does MySQL cost?
- MySQL software is open source, but cloud costs come from the managed service and infrastructure. Pricing typically depends on (1) instance size/CPU and memory, (2) storage type and amount, (3) I/O and performance tier, (4) high availability (multi-zone/replicas), (5) backup retention and snapshot storage, and (6) data transfer. Costs can range from low monthly spend for small dev databases to much higher for production systems with replicas, large storage, and high IOPS.
Category: database
Difficulty: basic
Related Terms
See Also