When developing and designing applications, choosing the right database management system is crucial. Although MySQL is a common and widely used relational database management system, there are some scenarios where MySQL is not suitable. Here are five objective reasons not to use a MySQL database:
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Non-relational data storage requirements: MySQL is a relational database suitable for storing structured data. However, some applications require the storage and processing of unstructured or semi-structured data, such as documents, logs, images, audio and video, etc. In this case, a non-relational database (NoSQL) or object storage system may be more suitable. For example, you can use MongoDB to process large amounts of document data, or use Amazon S3 to store and manage large multimedia files.
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Highly concurrent read and write operations: MySQL may face performance bottlenecks when processing highly concurrent read and write operations. When an application needs to handle a large number of concurrent read and write requests quickly, some other database system may be more suitable. For example, using Apache Cassandra or Redis allows for highly scalable and low-latency read and write operations, suitable for applications that need to process real-time data.
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Distributed data storage: If the application requires data replication and distribution across multiple geographic locations or data centers, MySQL may not be the best choice. Distributed database systems such as Apache HBase or Couchbase can provide powerful data replication and distribution capabilities while maintaining data consistency and high availability.
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Big Data Processing: MySQL may face performance and scalability challenges when processing large-scale data sets. If your application requires tasks such as big data processing, analytics, or machine learning, it is more appropriate to use tools and frameworks specifically designed for big data processing. For example, tools such as Apache Hadoop and Apache Spark can process large-scale data sets and provide high performance and scalability.
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Domain-specific requirements: Some domain-specific applications may have special data storage and processing requirements that may be beyond the capabilities of MySQL. For example, time series