Database management

Database Management: Why Developers Prefer PostgreSQL?

PostgreSQL is a free, open source database management system. It emphasizes SQL conformance and extensibility. The original name of PostgreSQL was POSTGRES. The name is the successor to the Ingres database which was the product of the University of California. It has been given a new name, “PostgreSQL”, which reflects system support for SQL.

This DMS is one of the most powerful database systems that extend the SQL language with features that help store and scale complex data jobs. The origins of this system date back to 1986, which is part of the POSTGRES project. It has almost 30 years of development on the main platform.

Applying PSQL

It has a popular and excellent reputation for its reliability, architecture, data integrity, extensibility, robust feature set, and dedication to the open source community. The software constantly provides innovative solutions. This DMS can run on all major operating systems and is ACID compliant. It has powerful add-ons like PostGIS and geospatial database expander. It is an open source relational database that many organizations and people select.

It has transactions with the properties of consistency, atomicity, isolation and durability. It has automatically updated views, triggers, materialized views, foreign keys as well as stored procedures. It handles different workloads, from single machines to data warehouses and web services with concurrent users. It is available for Linux, Windows, OpenBSD and FreeBSD and is a default database for macOS server.

Understanding Replication

PostgreSQL has built-in binary replication that sends changes to replica nodes asynchronously. It can run read-only queries against replicated nodes. This allows the read traffic to be efficiently distributed among the many nodes.

It has built-in synchronous replication that ensures for every write transaction; the master is waiting for a replica node to write data to the transaction log. Unlike database systems, the durability of this synchronous or synchronous transaction can be easily specified per database, per session, per user, and per transaction. This is useful for workloads that do not require guarantees. Not all data would need this as it reduces performance due to the transaction confirmation requirement reaching synchronous sleep.

Standby servers can be asynchronous or synchronous. Synchronous standby servers are specified in a configuration that determines candidate servers for synchronous replication.

The PostgreSQL kernel does not include synchronous multi-master replication. Postgres-XC is tied to PostgreSQL and provides synchronous and scalable multi-master replication. Related projects are Postgres-XL. Another fork is Postgres-R, an asynchronous multi-master replication system, i.e. two-way replication. DMS uses it.

Many asynchronous replication packages are based on triggers. They are useful after the introduction of expanded base abilities. They are useful in situations where binary replication of database clusters is not suitable.

What are indexes?

PostgreSQL development has built-in support for hash table and regular B-tree indexes. It has four methods of accessing indexes: generalized inverted indexes, generalized search trees, block range indexes, and space partitioning. You can create user-defined index methods, but it’s a very complex process.

PostgreSQL Index Features

The PostgreSQL index supports the features mentioned below:

  • It is useful to create expression indexes with the index of the result of a function or an expression. This is used instead of the column value. PostgreSQL partial indexes are just the index part of any table; these can be created by adding a WHERE clause to the end of the CREATE INDEX statement. This helps in creating smaller indexes.
  • Planner uses multiple indexes to satisfy complex queries. It uses an in-memory bitmap index which is temporary and the operations are useful for data warehouse applications. They help join large fact tables to tables of smaller dimensions.

Understanding Schemas

The schema for this system contains all objects except tablespaces and roles. Schemas also act as namespaces; it allows objects with similar names to coexist in the same database. This new database schema is “public”. Any additional schemas can integrate and the public schema is not required.

Search_path is a parameter that determines the order in which the DMS checks schemas for any unqualified objects. It is defined as $user, public by default. $user is the currently logged in database user. The default can be set at the role or database level. This is a session setting and you can change it freely, even during client sessions. It only affects one session.

Another data type is the domain, and it is identical to the other data types. It has optional constraints that are set by the domain creator. So, all data that goes into the column using a domain that will conform to the constraints defined in the domain.

Procedural languages

Procedural languages ​​help developers extend their database with custom functions. These are stored procedures. Functions create database triggers, custom data types, or aggregate functions. Procedural languages ​​activate without crucial functions; it uses the DO command at the SQL level.

Languages ​​are divided into different groups, which include procedures written in safe languages. They are developing safely and different users are using them. Superusers create procedures that use insecure languages. They are used to circumvent database security restrictions. It can access sources external to the database.

Why do developers prefer PostgreSQL?

It has many features that help developers to build apps. It also helps administrators protect data integrity. They create fault tolerant environments and users can manage this data even if the data set is small or large. PostgreSQL is extensible in addition to being free or open-source. Users can define their data types, create custom functions, and write code from various programming languages. This does not require recompiling the database.

PostgreSQL development conforms to SQL standards, and this conformance does not contradict traditional functionality. It could also lead to private architectural decisions. These features are mandatory for SQL standards and support different functions or syntaxes. It’s heading towards conformity, and that’s to be expected for a while. PostgreSQL is compliant with 170 of the 179 Mandatory Features for SQL: 2016. No relational database has been fully compliant with this standard.

The data type represents an easy-to-use range of data. These are range types. There can be continuous or discrete ranges. Built-in range types are available, and this includes a huge range of integers, decimals, dates, and timestamps.

It connects to other systems and helps recover data using foreign data wrappers. They can take the form of a data source such as a file system, web service, or relational database management system. Thus, regular database queries use data sources such as multiple data sources or regular tables.


PostgreSQL development is extensible and its many features such as indexes define APIs, which help in building PostgreSQL web applications. It is scalable in the amount of manageable data. It can also accommodate a large number of concurrent users. Many customers hire PostgreSQL developers to build solid web applications.