PostgreSQL Tutorials and Courses

PostgreSQL is a powerful object-relational database system. It is open-source and runs on all major operating systems, including Linux, UNIX (AIX, BSD, HP-UX, SGI IRIX, Mac OS X, Solaris, Tru64), and Windows. It supports text, images, sounds, and video, and includes programming interfaces for C / C++, Java, Perl, Python, Ruby, Tcl and Open Database Connectivity (ODBC). It is developed by a worldwide team of volunteers and is not an entity of any corporation.

1. Install PostgreSQL to your local computer. 
2. Next, connect to the PostgreSQL database server from a client application such as psql or pgAdmin. 
3. Download the PostgreSQL sample database and load it into the PostgreSQL database server.

No, it is an advanced version of SQL, which provides support to different functions of SQL like foreign keys, subqueries, triggers, and different user-defined types and functions

MySQL is a relational database management system, whereas PostgreSQL is an object-relational database management system. MySQL is not extensible and does not provide the Data Domain Object. PostgresSQL is highly extensible and provides the Data Domain Object.

Yes, PostgreSQL is free, and code is available to use for everyone. It allows users to do anything they want with the code, including reselling binaries without the source code; thus, its free for all users, both proprietary and open source.

Yes, PostgreSQL, like many other RDBMS, has added support for JSON data, which is the most popular format for semi-structured data commonly stored in NoSQL systems.

Yes, it offers the following advantages: 

1. Open Source DBMS: provides enterprise-class performance and functions among current Open Source DBMS with no end of development possibilities. 

2. Diverse Community: there exists a wide variety of communities.  

3. Support for Languages: supports languages like PL/pgSQL, PL/Python, PL/Perl, C/C++, and PL/R.

4. ACID and Transaction: supports Atomicity, Consistency, Isolation, Durability (ACID).

5. Diverse indexing techniques: supports techniques like B+ tree index, Generalized Inverted Index (GIN) and GiST(Generalized Search Tree)