What storage engines does MariaDB have and what are their use cases?

MariaDB provides multiple storage engines, each with specific advantages and use cases:

1. InnoDB (Default Engine)

   • Supports transaction processing (ACID)
   • Row-level locking, suitable for high-concurrency environments
   • Supports foreign key constraints
   • Supports crash recovery
   • Use cases: OLTP applications, e-commerce, financial systems

2. MyISAM

   • Table-level locking, fast read speed
   • Does not support transactions
   • Does not support foreign keys
   • Use cases: Read-intensive applications, data warehouses, log storage

3. Aria

   • Improved version of MyISAM
   • Supports crash recovery
   • Better concurrency performance
   • Use cases: Scenarios requiring MyISAM features with higher reliability

4. ColumnStore

   • Columnar storage engine
   • Suitable for large-scale data analysis
   • Supports compression and parallel queries
   • Use cases: Data warehouses, BI analytics, big data processing

5. Spider

   • Sharding storage engine
   • Supports data sharding and distributed queries
   • Can achieve cross-server data access
   • Use cases: Distributed databases, horizontal scaling scenarios

6. RocksDB

   • LSM-Tree based storage engine
   • High write performance
   • Supports compression
   • Use cases: Write-intensive applications, time-series data

7. TokuDB

   • High compression ratio
   • Supports fast indexing
   • Use cases: Big data storage, archival systems

When choosing a storage engine, consider: transaction requirements, read/write ratio, data volume, concurrency level, reliability requirements, and other factors.