For instance, referring back to our example of using a database with customer contact information, a key to help you identify a unique attribute could involve someone’s email address as this is an attribute unlikely repeated elsewhere. Both platforms use primary and foreign keys to establish relationships between tables. SQL keys ensure that there are no rows with duplicate information. You can also filter your data in each platform via specific rows. For instance, if you’re working with customer contact information, you’ll likely find a set of the following rows in your database: Tablesīoth platforms use the standard relational database table model to store data in rows and columns. Each platform also allows you to monitor performance based on similar metrics, like execution or run time to measure how long it takes for your database to complete a specific request. Both platforms can handle this type of high-performance speed. It stores all of your data, so you need a database that can return data in less than a second. High performanceĪ database is your application’s backbone. You’d follow a similar process if you’re dealing with a much larger database. You likely have the option to jump to 16 GB. For example, say you’re running on 8 GB of memory at the moment but see a need for more. You can use both for small projects however, should these projects take off to an enterprise level, they can still support millions of transactions a day.īecause they use relational tables to store their data, the preferred method to scale is to go vertical, which means that you’ll want to invest in more memory. Scalabilityīoth platforms allow you to scale as your business grows. The following similarities make it easy for a database developer to work on both platforms efficiently, even if they specialize in only one. Most developers specialize in either one or the other because the underlying architecture is very different. MySQL: Similaritiesīoth Microsoft and MySQL are relational database management systems (RDBMS), so they have several similarities. SQL Server runs on Windows and is usually a part of a Windows environment.īoth platforms handle small and large software projects, so you should anticipate similar performance from both, provided the database designer and programmer are familiar with the right way to optimize queries and code. MySQL runs on either Windows or Linux, typically as a part of a LAMP environment. Since both of them have been in production for years, they both have a firm foothold in the market. Microsoft SQL Server was introduced in 1989, and MySQL was introduced in 1995 as an open-source project. They use indexes to sort data and increase performance, and they both support desktop and web applications.They have primary and foreign key constraints.They use tables to store database files.They both give you the functionality to host several databases on one server.On the surface, both Microsoft and MySQL look similar: Whether you want to store, retrieve or edit your data-the way dynamic websites and applications perform nearly every request a user makes-SQL is the programming language of choice for relational databases.
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