MySQL is a common choice for users who have extensive experience using traditional SQL scripting, designing solutions for relational databases, or who are modifying or updating existing applications that already work with a relational system. A common example of such an application is a web application that doesn't depend on structured schemas it can easily serve unstructured, semi-structured, or structured data, all from the same MongoDB collection.
With the ability to store documents of varying schemas, including unstructured data sets, MongoDB provides a flexible developer interface for teams that are building applications that don’t need all of the safety features offered by relational systems. This flexible approach to storing data makes it particularly suitable for developers who may not be database experts, yet want to use a database to support the development of their applications.Ĭompared to MySQL, this flexibility is a significant advantage: to get the best out of a relational database, you must first understand the principles of normalization, referential integrity, and relational database design. MongoDB stores data in collections with no enforced schema. Its data storage philosophy is simple and immediately understandable to anybody with programming experience. MongoDB is an attractive option to developers. This more flexible approach is possible because documents are self-describing.
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MongoDB documents consist of a series of key/value pairs of varying types, including arrays and nested documents however, the primary difference is that the structure of the key/value pairs in a given collection can vary from document to document. Often styled as a non-relational (or NoSQL) system, MongoDB adopts a significantly different approach to storing data, representing information as a series of JSON-like documents (actually stored as binary JSON, or BSON), as opposed to the table and row format of relational systems.
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MongoDB is also free to use and open source however, its design principles differ from traditional relational systems. If a new type or format of data needs to be stored in the database, schema migration must occur, which can become complex and expensive as the size of the database grows. This rigid approach to storing data offers some degree of safety, but trades this for flexibility. When users need to retrieve data from a MySQL database, they must construct an SQL query that joins multiple tables together to create the view on the data they require.ĭatabase schemas and data models need to be defined ahead of time, and data must match this schema to be stored in the database. As with other relational systems, MySQL stores data using tables and rows, enforces referential integrity, and uses structured query language (SQL) for data access.
MySQL is a popular, free-to-use, and open-source relational database management system (RDBMS) developed by Oracle. MySQL has replication and high availability if you go with MySQL Cluster.What are the main differences between MongoDB and MySQL? MySQL
I would recommend going with Linux for MySQL as it is usually a more stable platform and gives you more flexibility since many tools for MySQL are written for Linux. MySQL provides InnoDB engine which is fully ACID compliant, you can have online backups by using mysqldump with correct options with InnoDB tables or by using Xtrabackup from Percona. If you do not want to face all those restrictions you should go with MySQL. If you go to and click on SQL Server Express, you will see just how restrictive the limitations are:Įxpress will run only using one CPU, will only use up to 1 GB of RAM, and will allow you to have a database up to 10 GB only. Take it with a grain of salt, as the information is provided by Microsoft, the maker of SQL Server. Just go to and pick MySQL in the dropdown box. Microsoft provides a comparison between MySQL, SQL Server Express, and SQL Server Enterprise.
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