What is PostgreSQL? Introduction to PostgreSQL Database

What is PostgreSQL? Introduction to PostgreSQL Database

PostgreSQL is an open-source, robust,  object-relational database system. It has almost 16 years of active development and a verified architecture that has made it a high reputation for dependability, trustworthiness, data integrity, reliability, and correctness. PostgreSQL database has more functionality than most other Open Source or commercial DBMSes. And it gives the user considerable control over that functionality. In this topic. we will look at the following points:

  • What is PostgreSQL? 
  • PostgreSQL History 
  • Features of PostgreSQL
  • Postgresql vs Mysql
  • Applications of PostgreSQL 
  • Advantages of PostgreSQL 
  • Disadvantages of PostgreSQL

What is PostgreSQL Database? 

PostgreSQL database is the most powerful open-source database available worldwide. It offers a very sophisticated query language, along with full support for transactions and for high availability. It is also designed to be easy to install and maintain. Click Here Postgresql download

You can use the PostgreSQL database as an embedded database, or you can run it on your own computer or in the cloud. It supports all major operating systems, as well as many lesser-known ones. And its powerful features are equally useful to both small startups and large enterprises.

  • It has more functionality than most other Open Source or commercial DBMSes. And it gives the user considerable control over that functionality.
  • PostgreSQL doesn’t just store data: it also does queries and processing, using a rich set of operators and functions that are integrated into the database system itself. 
  • The PostgreSQL query language is SQL, but it’s more powerful than the SQL you may be familiar with. 
  • PostgreSQL can handle large amounts of data and very complex queries efficiently, thanks to its advanced storage engine, page-based storage system, regular indexes, and caching of query plans.

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PostgreSQL History

PostgreSQL database was developed by a computer science professor, Michael Stonebraker, and his team in 1986 at the University of California, Berkeley as a research project. It was the first database system to be 100% compliant with the SQL standard and is one of the most advanced open-source relational database engines.

Towards the end of 1990, PostgreSQL developers formed a company called Postgres Inc., which was purchased by EnterpriseDB in 2008. Today, PostgreSQL is under the stewardship of many organizations including EnterpriseDB and Red Hat.

In 1992, with support from Silicon Graphics (SGI), PostgreSQL became available on SGI’s IRIX operating system. SGI and Netscape used PostgreSQL as their primary database management system during the development of their flagship products: IRIX and Netscape Navigator. Today, PostgreSQL is available for a wide variety of platforms including Linux, Windows, Solaris, and OS X.

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Features of PostgreSQL

  • Security:  PostgreSQL has comprehensive security features that allow it to be deployed in even the most sensitive environments.
  • Performance:  PostgreSQL has very fast response times and superior throughput capacity across multiple CPUs or machines.
  • Reliability:  Psql is extremely robust and reliable, having been used as mission-critical production databases by hundreds of thousands of organizations around the world since its initial release in 1996.
  • Interoperability:   PostgreSQL plays well with others; it supports industry standards such as JDBC, ODBC and XML/JSON, it can read and write data from/to relational and non-relational databases (MySQL, SQL Server, Oracle), flat files, email; it can be easily extended through plug-ins (from major providers like Oracle and Sybase).
  • It can handle large amounts of data with ease. It also allows the user to adjust the amount of data that is cached in RAM or on disk, depending on the amount of RAM available on the system. 
  • It supports multiple databases per server along with database replication, which can be used to implement configuration management, failover clusters, load balancing, etc. 
  • It supports custom programming hooks for users who need more control or power than provided by SQL.
  • Unlike commercial databases, Psql has no arbitrary limits on the size of your database. If you have enough disk space, you can store as much data as you want.
  • Psql supports arrays and composite types.You might use them to represent a list of employees or a set of part numbers or any other group of items that go together in some way.

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Postgresql vs Mysql

  • Postgresql vs Mysql are both open-source relational database management systems (RDBMS). The big difference is that PostgreSQL is more advanced, reliable and stable than MySQL.
  • MySQL is hosted by Oracle Corporation while PostgreSQL is hosted by the PostgreSQL Global Development Group
  • PostgreSQL is released under the PostgreSQL License while MySQL is released under the GNU General Public License (GPL) 
  • MySQL uses Dynamic Binary Translation (DBT) while PostgreSQL uses Just-In-Time Compilation (JIT).
  • The most meaningful reason to choose Postgresql over Mysql is the reliability factor.. The bugs in the Postgresql core are considered high risk and get fixed quickly. The bugs in the Mysql core are considered low risk because they don’t interfere with normal operation.

Applications of PostgreSQL 

Following are the list of PostgreSQL Applications :

  1. Financial Industry : The financial industry consists of many different parts, and these parts span many different parts of the world. The system has to handle a high volume of data and transactions and must be able to do so quickly. This is because the industry handles a lot of money, and speed is necessary to minimize risk. The data stored in a database will need to be stored in a way that prevents loss or corruption, and this will require a reliable database. The database must allow for fast retrieval of information in real-time. In addition, the database will need to be able to handle all of these tasks while remaining cost-effective.
  1. Government GIS Data: Government agencies often publish digital data for geographic regions. They’re often not the most detailed data available, and you’d never want to try and use them to build a working replica of Google Maps, but they’re freely available and great for hobby projects.
  1. Manufacturing is the conversion of raw materials into finished goods on a large scale. There are many subcategories, which are often grouped under the name Manufacturing. It also involves the maintenance of industrial equipment.The manufacturing sector is closely linked to and part of many other sectors that together make up the economy, such as those that produce services to manufacturing (trade), those that consume manufacturing output (the retail industry), and those that provide finance for manufacturing (banking).
  1. Web Technology and No SQL : The web is a technology that allows people to view and manipulate documents. These new applications have requirements that are completely different from traditional enterprise applications, which has led to the rise of NoSQL databases. However, these applications still need to be able to integrate with back-end systems of record, such as enterprise databases. PostgreSQL provides an ideal solution for this integration. Many enterprises are already using it as a backend data store for their web applications, or are planning to do so soon.
  1. Scientific Data are among the most demanding applications for database systems. They are often large. They are almost always very critical to someone’s research, so there is strong motivation to get them right. And they are highly variable in structure so that predefined schemas are of only limited use. The PostgreSQL project has developed a sophisticated schema system that can accommodate many different types of data, while still providing the reliability expected in critical applications.

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Advantages of PostgreSQL 

  • The high performance of the database.
  • The high level of data security.
  •  The support of different operating systems.
  • Full compatibility with SQL standards.
  • Full compatibility with standard tools, such as GUI interfaces or client libraries for application programming languages like Perl, Python, PHP, Java, etc.
  •  A large number of data types, functions, procedures and operators.

Disadvantages of PostgreSQL 

PostgreSQL also has some disadvantages:

  • The complexity of the administration process.
  •  The low level of scalability when the volume of data increases.

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