Get Closer To Your Dream of Becoming a Data Scientist with 150+ Solved End-to-End ML Projects What is SQL? Now that you have had a basic overview of the two- SQL and MySQL, let us move on to the fantastic features they provide and the pros and cons of using them. This offers them insights to evaluate and visualize the data in a much more manageable way. Thanks to relational database management systems, developers and data scientists can better comprehend the relationship between the various aspects of database tables. The SQL programming language allows them to communicate and interact with relational databases. This requires them to be proficient in database query languages like SQL. Again, there are times when data scientists need to retrieve data from existing databases. They sometimes need to build databases from scratch, which requires solid knowledge of database management systems like MySQL. MySQL is the top choice for several leading companies, like Yahoo, Google, Facebook, etc.ĭata Scientists often find themselves in a challenging position when interacting with large volumes of data. It runs on nearly all major operating systems, including Windows, Mac OS X, Linux, and Unix-based systems. MySQL database supports C and C++ programming languages. MySQL is an Oracle-owned open-source relational database management system that employs SQL commands to execute various database operations. You can create and manage any database and create schemas by writing SQL codes and queries. You can use SQL for performing database queries to access, update, and alter data on database management systems like MySQL and SQL Server. SQL is the standard language for maintaining and managing databases according to the ANSI (American National Standards Institute) standards. SQL stands for Structured Query Language. But that doesn't mean MySQL can't be configured to use more nor does it mean SQL Server can't be configured to use less. So with all this said, if your hosting guy just ran the install and went no further, MySQL will have a smaller footprint. So out of the box MS SQL Server will take up more resources because it assumes you're going to want to maximize its use of resources for the best possible performance. They are fairly easy to configure using SQL Server Management Studio, but a lot of folks don't touch these settings. SQL Server Express can be configured to use more resources (to a maximum point, since it is Express) and Standard and Enterprise editions can be configured to limit access to memory, processors, etc. This is different than SQL Server Express, which installs in a way that limits the resources it needs as much as possible. SQL Server Standard and Enterprise editions, on the other hand, set up SQL Server to maximize resources on the server. It's been a while since I've done a MySQL install (Sun buying them diminished my love of them and then the subsequent buy by Oracle has just about killed it), but if I recall correctly, MySQL's installation prompts for settings that effectively limit MySQL's use of memory, etc., out of the box. Whether it uses 10 or 20mb RAM makes no practical difference, but scalability once you hit 1000gb is more important.Īt the end, without knowing the details, it is unknown whether the guy ran into a low scalability issue or was simply incompetent. SQL Server is aimed at high-end scalability, and MS Often does not consider the lower end edge case something to optimize for. If you want SQL Server to use little RAM, the admin HAS TO SAY SO (it is a setting limiting the RAM used). Often people with poor knowledge of SQL Server overlook that. This is by design to speed things up, and SQL Server rightly assumes it runs alone (serious databases do) and knows better than the file system cache. This means in any environment which is active, and has non-trivial databases larger than the memory, the memory WILL fill up to 100%. SQL Server uses - unless told otherwise - as much RAM as it can to cache database pages in memory. It is likely because the guy (a) did not really know what he talks about and (b) MS does not target mini databases.
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