PostgreSQL V/S SQL
PostgreSQL
PostgreSQL is also known as Postgres , is free and open source Relational Database Management System.
PostgreSQL evolved from the Ingres project at the University of California, Berkeley. In 1982,
PostgreSQL is a database system (tool) and its open source.
PostgreSQL is advance version of SQL which supports to different functions of SQL. It need to perform a complex operation such as creating store procedures functions and triggers.
PostgreSQL can store and manage real data.
PostgreSQL is truly on top of the game when it comes to CSV support. It offers powerful commands like COPY TO and COPY FROM, which enable fast and efficient data processing. PostgreSQL also provides clear and helpful error messages during import operations
PostgreSQL (using SERIAL)
In PostgreSQL, SERIAL is used to automatically increment a column. In PostgreSQL, you can use the || (double pipe) operator to concatenate strings.
PostgreSQL also uses LIMIT to restrict the number of results returned. The syntax is the same.
Support stored procedures and stored functions in different languages. In PostgreSQL there is no need to create a dull first. A user who has made the code can easily see what the code is doing. The server, which is a downside, must host the language the environment uses.
Materialized Views in Postgres does not provide the facility to run materialized views. Instead, they have a module called mat views which helps rebuild any materialized view.
Dynamic actions in SQL. PostgreSQL does provide this feature just by using select statements, a user can perform all operations and retrieve and do all other jobs quickly.
PostgreSQL, on the other hand, was designed from the beginning to be open-source and cross-platform. It runs natively on Linux, Windows, macOS, BSD, Solaris, and more without heavy dependencies. Plus, because it's open-source, you can even modify the PostgreSQL code if you want.
PostgreSQL has built-in and powerful regular expression (regex) functions.
You can do things like:
Pattern matching (~, ~* for case insensitive)
Pattern negation (!~, !~*)
Regex search and replace (regexp_replace)
Regex extraction (regexp_matches, regexp_split_to_table)
PostgreSQL Conversion to UTF-8
PostgreSQL works completely the opposite. There’s no need to convert character sets and strings to UTF-8. Not only that but the UTF-8 syntax is not allowed at all.
PostgreSQL DROP and TRUNCATE
Here, you can use DROP CASCADE to drop a table and its dependent objects.
While PostgreSQL supports temporary tables, it doesn’t have a special keyword used for deleting them. To do that, you’ll use the DROP TABLE statement and specify the temporary table you want to delete as you would do with any other table.
However, when it comes to the TRUNCATE statement, PostgreSQL offers much more flexibility. It has features such as CASCADE (you can truncate dependent objects), RESTART IDENTITY (automatically restarts sequences associated with the truncated table’s columns), CONTINUE IDENTITY (the default argument that doesn’t change the values of sequences), and RESTRICT (the default argument not allowing truncate if any tables are referenced by the other tables’ foreign key).
Structure Query Language (SQL) is a Domain Specific Language used to manage data in a Relational Database Management System (RDBMS) It is particularly useful in handling structured data, i.e., data incorporating relations among entities and variables. SQL was developed at IBM by Donald D. Chamberlin and Raymond F. Boyce in the early 1970.
SQL is a language (not a tool) and is standardized.
SQL is mainly used for simple database interaction e commerce and warehousing solutions.
SQL can not store and manage real data. It is used for accessing and manipulating data
SQL does not define to direct support to CSV files.
SQL (using AUTO_INCREMENT in MySQL for example)
This creates a table employees where employee _id automatically increments with each new row. In standard SQL databases like MySQL, you use the CONCAT() function to concatenate strings.
In MySQL (a common SQL variant), LIMIT is used to limit the number of rows returned by a query.
Support stored procedures and stored functions in different languages. In SQL server does support this feature. It can be done with any language which complies with CLR, like VB, C#, Python, etc. to complete this successfully, the user must compile the code into all first.
Materialized Views Yes, it provides the facilities to run materialized views. The functioning varies depending on where the query is being run. It can be SQL Express, Workgroup, etc.
Dynamic actions in SQL. SQL server does not support this feature. But instead, this user can use the stored procedure and call these from select statements, which is much more limiting than PostgreSQL.
SQL Server (by Microsoft) was traditionally locked to Windows systems only. This meant companies had to run Windows Server OS (which costs extra) just to host their database. Even though SQL Server 2017 and later versions started offering Linux support, it's still more optimized and deeply tied into the Microsoft ecosystem.
SQL Server, in contrast, mostly uses:
LIKE (basic pattern matching with % and _)
PATINDEX (find pattern position)
CHARINDEX (find simple substring)
Very basic wildcard matching, no real full regex engine.
True regex support needs CLR integration (external code) — not easy to set up.
MySQL Conversion to UTF-8
Depending on the version you’re working on, you might be required to convert to UTF-8.
MySQL DROP and TRUNCATE
When you want to DROP a table together with its dependent objects, such as other tables and views, using the CASCADE keyword along with the DROP command would be very useful. Unfortunately, MySQL doesn’t support it but is probably to be introduced in some future versions.
MySQL supports temporary tables. It also has the TEMPORARY keyword used in the DROP command to delete only the temporary tables.
Regarding TRUNCATE, MySQL is really basic here. It allows you to TRUNCATE the table, and that’s it. No additional possibilities like in PostgreSQL.
