PostgreSQL Database Server

 

What is PostgreSQL – Introduction


This is an introductory article for the PostgreSQL database management system. In this we will look into the features of PostgreSQL and why it stands out among other relational database management systems.

Brief History of PostgreSQL:

PostgreSQL also known as Postgres, was developed by Michael Stonebraker of the University of California, Berkley. It started as the Ingres Project and later evolved into Postgresql as we know today. In the year 1982, Michael Stonebraker started a post-Ingres project to address the problems with contemporary database systems. He was awarded the Turing Award in the year 2014 for the projects and techniques pioneered in them. The POSTGRES project aimed at adding fewest features like the ability to define various data types and to fully describe relationships – something used widely, but maintained completely by the end-user. POSTGRES used various ideas of Ingres, but had its unique source code. The initial version of PostgreSQL was designed to run on UNIX-like platforms. However, it was then evolved to be mobile so that it could run on other platforms such as Mac OS X, Solaris, and Windows.

What is PostgreSQL?

PostgreSQL is one of the most advanced general-purpose object-relational database management system and is open-source. Being an open-source software, its source code is available under PostgreSQL license, a liberal open source license. Anyone with the right skills is free to use, modify, and distribute PostgreSQL in any form. As it is highly stable, very low effort is required to maintain this DBMS.

Why PostgreSQL is best for you?

The key features that make PostgreSQL a reliable and user-friendly are listed below:


  • User-defined types
  • Table inheritance
  • Sophisticated locking mechanism
  • Foreign key referential integrity
  • Views, rules, subquery
  • Nested transactions (savepoints)
  • Multi-version concurrency control (MVCC)
  • Asynchronous replication
  • Native Microsoft Windows Server version
  • Tablespaces
  • Point-in-time recovery

Why PostgreSQL is unique in itself?

Below is the list of features that makes PostgreSQL stand-out among other DBMS:

  • The multi-version concurrency control (MVCC) feature was first implemented by PostgreSQL.
  • Custom functions developed in languages like C/C++, Python, Java, etc can be added to PostgreSQL.
  • As PostgreSQL is designed to be extensible, one can define their own data types, index types, functional languages, etc.
  • If one intends to remove any part of the system, one can always develop a custom plugin to enhance it to meet their specific requirements.

Large Scale users of PostgreSQL

A number of companies have built products and solutions using PostgreSQL. Few of those companies are Apple, Fujitsu, Red Hat, Cisco, Juniper Network, etc.

Summer-time is here and so is the time to skill-up! More than 5,000 learners have now completed their journey from basics of DSA to advanced level development programs such as Full-Stack, Backend Development, Data Science.

Comments

Post a Comment

Popular posts from this blog

Terraform

Image
  Terraform is an infrastructure as code tool that lets you build, change, and version cloud and on-prem resources safely and efficiently. HashiCorp Terraform is an infrastructure as code tool that lets you define both cloud and on-prem resources in human-readable configuration files that you can version, reuse, and share. You can then use a consistent workflow to provision and manage all of your infrastructure throughout its lifecycle. Terraform can manage low-level components like compute, storage, and networking resources, as well as high-level components like DNS entries and SaaS features. How does Terraform work? Terraform creates and manages resources on cloud platforms and other services through their application programming interfaces (APIs). Providers enable Terraform to work with virtually any platform or service with an accessible API. HashiCorp and the Terraform community have already written  thousands of providers  to manage many different types of resources and services.
Read more

Scrum Master Interview help - Bootcamp

Understanding the MoSCoW prioritization | How to implement it into your project Projects, irrespective of their size or complexity, often juggle numerous tasks and requirements. In such a scenario,  MoSCoW prioritization  becomes essential to ensure the successful completion of the project.  Besides, it is also a very effective way to manage project priorities. With a straightforward and adaptable approach, the MoSCoW method helps manage stakeholder expectations and improve project outcomes. What is the MoSCoW prioritization technique?  The MoSCoW method is a prioritization matrix widely used in project management and software development. The term MoSCoW is an acronym that stands for  Must have ,  Should have ,  Could have , and  Won’t have , each denoting a level of priority. Here is the breakdown of the MoSCoW method:  Must have:  These are critical requirements that the project cannot be completed without them. If these are not fulfilled, the project is con
Read more

Kubernetes

  Using containers to host applications and other processes has gone mainstream. As more and more workload is moved into containers, management systems are needed to handle the demands of containerized applications at scale. One of the most popular options for managing  container-based workload is Kubernetes . Kubernetes combines container management automation with an extensible API to create a cloud-native application management powerhouse. At its core, Kubernetes manages the placement of pods, which can consist of one or more containers, on a Kubernetes cluster node. Additionally, if one of these pods crashes, Kubernetes can create a new instance of it. If a cluster node is removed, Kubernetes can move any affected workload to a different node in the cluster. On top of that, Kubernetes pods can be scaled to provide more or less throughput to meet scale demands and these scale operations can be triggered manually or automatically using Kuberentes horizontal pod auto-scaling. Finally,
Read more