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. 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. 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. Support triggers that can fire on most types of command, except for ones affecting the database globally e.g., roles and tablespaces.Of those four, only PostgreSQL and MySQL are open-source databases. This is advantageous in case of large tables with millions of rows. MySQL supports covering indexes that allow data to be retrieved by scanning the index alone without touching the table data. Ruby, Perl, Python, TCL, PL/pgSQL, SQL, JavaScript, etc. Programming languages for stored procedures Yes (Supported since MySQL 8.0.16, Before that MySQL just ignored the CHECK constraint) Must be a constant or CURRENT_TIMESTAMP for TIMESTAMP or DATETIME columns Support many advanced types such as array, hstore, and user-defined type. once data is deleted, it cannot be rolled back. MySQL TRUNCATE TABLE does not support CASCADE and transaction safe i.e. PostgreSQL TRUNCATE TABLE supports more features like CASCADE, RESTART IDENTITY, CONTINUE IDENTITY, transaction-safe, etc. Support CASCADE option to drop table’s dependent objects e.g., tables and views. Support the TEMP or TEMPORARY keyword in the DROP TABLE statement that allows you to remove the temporary table only. No TEMP or TEMPORARY keyword in DROP TABLE statement Multiple storage engines e.g., InnoDB and MyISAM The world’s most popular open source database. The world’s most advanced open source database. The following table compares the features of PostgreSQL vs. MySQL has been famous for its ease of use and speed, while PostgreSQL has many more advanced features, which is the reason that PostgreSQL is often described as an open-source version of Oracle. Both PostgreSQL and MySQL are time-proven solutions that can compete with enterprise solutions such as Oracle and SQL Server. MySQL is an important decision when it comes to choosing an open-source relational database management system.
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