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1. Postgresql vs mysql syntax how to#
2. Postgresql vs mysql syntax software#
3. Postgresql vs mysql syntax code#

PostgreSQL is better for data scientists because they often work on big projects requiring complex (read and write) queries, have to invest more time to learn how to handle such projects, and are or want to be familiar with the standard SQL.īut it’s not always that simple. In general, MySQL is more suitable for users who want to learn fast, are mainly interested in read-only intensive projects, and want to start those projects as soon as possible. Some of the main differences are data types, case sensitivity, need for a conversion to UTF-8, functions used for IF-THEN-ELSE statements, deleting and joining tables and data, and the range of the window functions offered. It could become even wiser by choosing which suits you best.Īs you saw here, there are a lot of similarities but also plenty of differences between PostgreSQL and MySQL. Learning any of these two SQL dialects is a wise decision. When the names are all in lowercase, and you write your query in uppercase, this query would still work: SELECT SERIAL_NUMBER,įROM LOS_ANGELES_RESTAURANT_HEALTH_INSPECTIONS Some workarounds to make PostgreSQL case-insensitive include using citext extension, ILIKE operator, or LOWER() function. Names with the uppercase should be double-quoted and match the table or column case.

Postgresql vs mysql syntax code#

If the above table was named Los_Angeles_restaurant_health_inspections and the columns are Serial_Number and Program_Status, your PostgreSQL code should be: SELECT “Serial_Number”,įROM Los_Angeles_restaurant_health_inspections

Or, to be more specific, case-sensitivity becomes important if your column and/or table name includes upper case. PostgreSQL is also case-sensitive when it comes to column and table names. There’s nothing because your string in the WHERE clause doesn’t match the case of data in the column program_status. Here’s the overview of the differences we’ll cover, with detailed explanations following. That’s why we’re going to look into the syntax differences between PostgreSQL and MySQL and their possibilities. What will make you give a pass (or not) to a certain database are the possibilities of the SQL dialect and how well it serves you to do your job. As a data scientist, you’re probably not that concerned about database architecture, performance, integrity, and all other stuff RDBMS is for. The differences are what make, well, the difference. It’s only multiplied by the popularity of the two databases and the sheer number of its users and contributors.Īll this means both PostgreSQL and MySQL dialects are almost unavoidable in the data science world.īut how do you decide which one you should use? Nobody has ever decided between two choices based on their similarities.

Postgresql vs mysql syntax software#

The possibility that anyone can modify the software leads to flexibility and a community providing quality support. Being open-source means these two are completely free, which also has a significant (positive!) impact on database popularity. Of those four, only PostgreSQL and MySQL are open-source databases.